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You searched for subject:(Image Classifier). Showing records 1 – 30 of 49 total matches.

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New Jersey Institute of Technology

1. Sinha, Atreyee. Investigation of new feature descriptors for image search and classification.

Degree: PhD, Computer Science, 2014, New Jersey Institute of Technology

  Content-based image search, classification and retrieval is an active and important research area due to its broad applications as well as the complexity of… (more)

Subjects/Keywords: Image search and configuarion; Feature descriptors; Wigner-based LBP; Gabor based descriptors; EFM-NN classifier; SVM classifier; Computer Sciences

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APA (6th Edition):

Sinha, A. (2014). Investigation of new feature descriptors for image search and classification. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/167

Chicago Manual of Style (16th Edition):

Sinha, Atreyee. “Investigation of new feature descriptors for image search and classification.” 2014. Doctoral Dissertation, New Jersey Institute of Technology. Accessed September 19, 2020. https://digitalcommons.njit.edu/dissertations/167.

MLA Handbook (7th Edition):

Sinha, Atreyee. “Investigation of new feature descriptors for image search and classification.” 2014. Web. 19 Sep 2020.

Vancouver:

Sinha A. Investigation of new feature descriptors for image search and classification. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2014. [cited 2020 Sep 19]. Available from: https://digitalcommons.njit.edu/dissertations/167.

Council of Science Editors:

Sinha A. Investigation of new feature descriptors for image search and classification. [Doctoral Dissertation]. New Jersey Institute of Technology; 2014. Available from: https://digitalcommons.njit.edu/dissertations/167


McMaster University

2. McCrackin, Laura. Classification-based Adaptive Image Denoising.

Degree: MASc, 2015, McMaster University

We propose a method of adaptive image denoising using a support vector machine (SVM) classifier to select between multiple well-performing contemporary denoising algorithms for each… (more)

Subjects/Keywords: Image denoising; Noise reduction; Seam energy; Seam carving; Saliency; Support vector machine; Classifier; Colour variance

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APA (6th Edition):

McCrackin, L. (2015). Classification-based Adaptive Image Denoising. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18376

Chicago Manual of Style (16th Edition):

McCrackin, Laura. “Classification-based Adaptive Image Denoising.” 2015. Masters Thesis, McMaster University. Accessed September 19, 2020. http://hdl.handle.net/11375/18376.

MLA Handbook (7th Edition):

McCrackin, Laura. “Classification-based Adaptive Image Denoising.” 2015. Web. 19 Sep 2020.

Vancouver:

McCrackin L. Classification-based Adaptive Image Denoising. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11375/18376.

Council of Science Editors:

McCrackin L. Classification-based Adaptive Image Denoising. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18376


Linköping University

3. Lind, Marcus. Automatic Segmentation of Knee Cartilage Using Quantitative MRI Data.

Degree: Computer Vision, 2017, Linköping University

  This thesis investigates if support vector machine classification is a suitable approach when performing automatic segmentation of knee cartilage using quantitative magnetic resonance imaging… (more)

Subjects/Keywords: qMRI; quantitative MRI; automatic segmentation; knee cartilage; SVM classifier; Medical Image Processing; Medicinsk bildbehandling

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APA (6th Edition):

Lind, M. (2017). Automatic Segmentation of Knee Cartilage Using Quantitative MRI Data. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138403

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lind, Marcus. “Automatic Segmentation of Knee Cartilage Using Quantitative MRI Data.” 2017. Thesis, Linköping University. Accessed September 19, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138403.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lind, Marcus. “Automatic Segmentation of Knee Cartilage Using Quantitative MRI Data.” 2017. Web. 19 Sep 2020.

Vancouver:

Lind M. Automatic Segmentation of Knee Cartilage Using Quantitative MRI Data. [Internet] [Thesis]. Linköping University; 2017. [cited 2020 Sep 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138403.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lind M. Automatic Segmentation of Knee Cartilage Using Quantitative MRI Data. [Thesis]. Linköping University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138403

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Youngstown State University

4. Nagavelli, Sai Krishnanand. Improve Nano-Cube Detection Performance Using A Method of Separate Training of Sample Subsets.

Degree: Master of Computing and Information Systems, Department of Computer Science and Information Systems, 2016, Youngstown State University

 The transmission electron microscopy (TEM) is an imaging technique whereby beams of electrons are driven through a thin specimen so that its structure on the… (more)

Subjects/Keywords: Computer Science; Integral image; Cascade classifier; Adaboost algorithm; Transmission electron microscopy; Rapid HAAR feature; OpenCV; Image detection

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APA (6th Edition):

Nagavelli, S. K. (2016). Improve Nano-Cube Detection Performance Using A Method of Separate Training of Sample Subsets. (Masters Thesis). Youngstown State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ysu1485267005121308

Chicago Manual of Style (16th Edition):

Nagavelli, Sai Krishnanand. “Improve Nano-Cube Detection Performance Using A Method of Separate Training of Sample Subsets.” 2016. Masters Thesis, Youngstown State University. Accessed September 19, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1485267005121308.

MLA Handbook (7th Edition):

Nagavelli, Sai Krishnanand. “Improve Nano-Cube Detection Performance Using A Method of Separate Training of Sample Subsets.” 2016. Web. 19 Sep 2020.

Vancouver:

Nagavelli SK. Improve Nano-Cube Detection Performance Using A Method of Separate Training of Sample Subsets. [Internet] [Masters thesis]. Youngstown State University; 2016. [cited 2020 Sep 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1485267005121308.

Council of Science Editors:

Nagavelli SK. Improve Nano-Cube Detection Performance Using A Method of Separate Training of Sample Subsets. [Masters Thesis]. Youngstown State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu1485267005121308


Brno University of Technology

5. Demčák, Ján. Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image.

Degree: 2020, Brno University of Technology

 This bachelor thesis deals with detection of weapons in 2D image. In the theoretical part of the thesis the term weapon was defined and the… (more)

Subjects/Keywords: detekcia; 2D obraz; zbraň; konvolučná neurónová sieť; spracovanie obrazu; klasifikátor; dataset; detection; 2D image; convolutional neural network; image processing; classifier; dataset

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APA (6th Edition):

Demčák, J. (2020). Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190078

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Demčák, Ján. “Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image.” 2020. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/190078.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Demčák, Ján. “Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image.” 2020. Web. 19 Sep 2020.

Vancouver:

Demčák J. Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/190078.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Demčák J. Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190078

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

6. Demčák, Ján. Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image.

Degree: 2020, Brno University of Technology

 This bachelor thesis deals with detection of weapons in 2D image. In the theoretical part of the thesis the term weapon was defined and the… (more)

Subjects/Keywords: detekcia; 2D obraz; zbraň; konvolučná neurónová sieť; spracovanie obrazu; klasifikátor; dataset; detection; 2D image; convolutional neural network; image processing; classifier; dataset

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Demčák, J. (2020). Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188544

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Demčák, Ján. “Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image.” 2020. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/188544.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Demčák, Ján. “Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image.” 2020. Web. 19 Sep 2020.

Vancouver:

Demčák J. Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/188544.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Demčák J. Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188544

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

7. Demčák, Ján. Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image.

Degree: 2019, Brno University of Technology

 This bachelor thesis deals with detection of weapons in 2D image. In the theoretical part of the thesis the term weapon was defined and the… (more)

Subjects/Keywords: detekcia; 2D obraz; zbraň; konvolučná neurónová sieť; spracovanie obrazu; klasifikátor; dataset; detection; 2D image; convolutional neural network; image processing; classifier; dataset

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Demčák, J. (2019). Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/85182

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Demčák, Ján. “Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image.” 2019. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/85182.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Demčák, Ján. “Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image.” 2019. Web. 19 Sep 2020.

Vancouver:

Demčák J. Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/85182.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Demčák J. Detekce zbraní ve 2D obrazu: Detection of Weapons in 2D Image. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/85182

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Edinburgh

8. Gella, Spandana. Visual context for verb sense disambiguation and multilingual representation learning.

Degree: PhD, 2019, University of Edinburgh

 Every day billions of images are uploaded to the web. To process images at such a large scale it is important to build automatic image(more)

Subjects/Keywords: visual and textual context; learning representations; artificial intelligence; verbs; visual sense disambiguation; image-verb classifier; predictions; image descriptions

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APA (6th Edition):

Gella, S. (2019). Visual context for verb sense disambiguation and multilingual representation learning. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/35702

Chicago Manual of Style (16th Edition):

Gella, Spandana. “Visual context for verb sense disambiguation and multilingual representation learning.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed September 19, 2020. http://hdl.handle.net/1842/35702.

MLA Handbook (7th Edition):

Gella, Spandana. “Visual context for verb sense disambiguation and multilingual representation learning.” 2019. Web. 19 Sep 2020.

Vancouver:

Gella S. Visual context for verb sense disambiguation and multilingual representation learning. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/1842/35702.

Council of Science Editors:

Gella S. Visual context for verb sense disambiguation and multilingual representation learning. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/35702

9. SILVA, Antonio Carlos de Castro da. Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem .

Degree: 2016, Universidade Federal de Pernambuco

 A detecção prematura de defeitos nos componentes de linhas de montagem de fabricação é determinante para a obtenção de produtos finais de boa qualidade. Partindo… (more)

Subjects/Keywords: TFT-LCD; plataforma; reconhecimento de imagem; detecção automática; classificador Naive Bayes; TFT-LCD; platform; image recognition; automatic detection; Naive Bayes classifier

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APA (6th Edition):

SILVA, A. C. d. C. d. (2016). Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem . (Thesis). Universidade Federal de Pernambuco. Retrieved from http://repositorio.ufpe.br/handle/123456789/17823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SILVA, Antonio Carlos de Castro da. “Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem .” 2016. Thesis, Universidade Federal de Pernambuco. Accessed September 19, 2020. http://repositorio.ufpe.br/handle/123456789/17823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SILVA, Antonio Carlos de Castro da. “Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem .” 2016. Web. 19 Sep 2020.

Vancouver:

SILVA ACdCd. Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2016. [cited 2020 Sep 19]. Available from: http://repositorio.ufpe.br/handle/123456789/17823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SILVA ACdCd. Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem . [Thesis]. Universidade Federal de Pernambuco; 2016. Available from: http://repositorio.ufpe.br/handle/123456789/17823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Bel Haj Ali, Wafa. Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification.

Degree: Docteur es, Informatique, 2013, Nice

La classification des images est aujourd'hui un défi d'une grande ampleur puisque ça concerne d’un côté les millions voir des milliards d'images qui se trouvent… (more)

Subjects/Keywords: Apprentissage supervisé; Classification des images; KNN; Classification linéaire; Fonctions de coût; Supervised learning; Image classification; KNN; Linear classifier; Loss functions

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APA (6th Edition):

Bel Haj Ali, W. (2013). Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification. (Doctoral Dissertation). Nice. Retrieved from http://www.theses.fr/2013NICE4079

Chicago Manual of Style (16th Edition):

Bel Haj Ali, Wafa. “Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification.” 2013. Doctoral Dissertation, Nice. Accessed September 19, 2020. http://www.theses.fr/2013NICE4079.

MLA Handbook (7th Edition):

Bel Haj Ali, Wafa. “Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification.” 2013. Web. 19 Sep 2020.

Vancouver:

Bel Haj Ali W. Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification. [Internet] [Doctoral dissertation]. Nice; 2013. [cited 2020 Sep 19]. Available from: http://www.theses.fr/2013NICE4079.

Council of Science Editors:

Bel Haj Ali W. Minimisation de fonctions de perte calibrée pour la classification des images : Minimization of calibrated loss functions for image classification. [Doctoral Dissertation]. Nice; 2013. Available from: http://www.theses.fr/2013NICE4079


University College Cork

11. Bag, Sukantadev. Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images.

Degree: 2015, University College Cork

 A certain type of bacterial inclusion, known as a bacterial microcompartment, was recently identified and imaged through cryo-electron tomography. A reconstructed 3D object from single-axis… (more)

Subjects/Keywords: Statistics; Classification; Polyhedron; Cryo-EM; Metabolosome; Tomography; Shape classification; Support vector machines; Bayes classifier; Image segmentation

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APA (6th Edition):

Bag, S. (2015). Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images. (Thesis). University College Cork. Retrieved from http://hdl.handle.net/10468/2854

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bag, Sukantadev. “Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images.” 2015. Thesis, University College Cork. Accessed September 19, 2020. http://hdl.handle.net/10468/2854.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bag, Sukantadev. “Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images.” 2015. Web. 19 Sep 2020.

Vancouver:

Bag S. Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images. [Internet] [Thesis]. University College Cork; 2015. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10468/2854.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bag S. Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images. [Thesis]. University College Cork; 2015. Available from: http://hdl.handle.net/10468/2854

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

12. Čepl, Radek. Optimalizace algoritmů pro zpracování obrazu v C++ pomocí šablon: Image Processing Algorithms Optimization Using C++ Templates.

Degree: 2019, Brno University of Technology

 Bachelor's thesis deals with image processing algorithm AdaBoost optimalization using C++ templates. Head aim of this thesis is effective evaluation of Haar Features with constant… (more)

Subjects/Keywords: AdaBoost; Haarovy příznaky; Integrální obraz; Klasifikátor; C++ šablony; AdaBoost; Haar features; Integral image; Classifier; C++ templates

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Čepl, R. (2019). Optimalizace algoritmů pro zpracování obrazu v C++ pomocí šablon: Image Processing Algorithms Optimization Using C++ Templates. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55594

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Čepl, Radek. “Optimalizace algoritmů pro zpracování obrazu v C++ pomocí šablon: Image Processing Algorithms Optimization Using C++ Templates.” 2019. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/55594.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Čepl, Radek. “Optimalizace algoritmů pro zpracování obrazu v C++ pomocí šablon: Image Processing Algorithms Optimization Using C++ Templates.” 2019. Web. 19 Sep 2020.

Vancouver:

Čepl R. Optimalizace algoritmů pro zpracování obrazu v C++ pomocí šablon: Image Processing Algorithms Optimization Using C++ Templates. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/55594.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Čepl R. Optimalizace algoritmů pro zpracování obrazu v C++ pomocí šablon: Image Processing Algorithms Optimization Using C++ Templates. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55594

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Melbourne

13. Roy, Pallab Kanti. A white matter lesion load prediction model using retinal micro vascular features.

Degree: 2015, University of Melbourne

 White matter lesion (WML) is one of the prominent cerebral abnormalities, which indicates the death of white matter of the human brain. Recent studies have… (more)

Subjects/Keywords: stroke; white matter lesion; retinal fundus image; focal narrowing; arteriovenous nicking; Markov random field; random forest classifier

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Roy, P. K. (2015). A white matter lesion load prediction model using retinal micro vascular features. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/90873

Chicago Manual of Style (16th Edition):

Roy, Pallab Kanti. “A white matter lesion load prediction model using retinal micro vascular features.” 2015. Doctoral Dissertation, University of Melbourne. Accessed September 19, 2020. http://hdl.handle.net/11343/90873.

MLA Handbook (7th Edition):

Roy, Pallab Kanti. “A white matter lesion load prediction model using retinal micro vascular features.” 2015. Web. 19 Sep 2020.

Vancouver:

Roy PK. A white matter lesion load prediction model using retinal micro vascular features. [Internet] [Doctoral dissertation]. University of Melbourne; 2015. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11343/90873.

Council of Science Editors:

Roy PK. A white matter lesion load prediction model using retinal micro vascular features. [Doctoral Dissertation]. University of Melbourne; 2015. Available from: http://hdl.handle.net/11343/90873

14. Berisha, Sebastian. Image Classification using Gabor Filters and Machine Learning.

Degree: 2009, Wake Forest University

 Feature extraction and classification are important areas of research in image processing and computer vision with a myriad of applications in science and industry. The… (more)

Subjects/Keywords: image processing; image classification; Gabor filter; naive Bayes classifier; SVM

…List of Figures 1.1 Panchromatic image of mountainous areas of Peru… …Lenna image . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Gabor filter… …responses after doing convolution of the Lenna image with different Gabor filters. From left to… …Bayesian networks. (a) Naive Bayes classifier; (b) Bayesian classifier [… …The original image on the left and the binary image on the right using the retrained PCM… 

Page 1 Page 2 Page 3 Page 4 Page 5

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Berisha, S. (2009). Image Classification using Gabor Filters and Machine Learning. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/14727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Berisha, Sebastian. “Image Classification using Gabor Filters and Machine Learning.” 2009. Thesis, Wake Forest University. Accessed September 19, 2020. http://hdl.handle.net/10339/14727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Berisha, Sebastian. “Image Classification using Gabor Filters and Machine Learning.” 2009. Web. 19 Sep 2020.

Vancouver:

Berisha S. Image Classification using Gabor Filters and Machine Learning. [Internet] [Thesis]. Wake Forest University; 2009. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10339/14727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Berisha S. Image Classification using Gabor Filters and Machine Learning. [Thesis]. Wake Forest University; 2009. Available from: http://hdl.handle.net/10339/14727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

15. Zemánek, Ondřej. Odhad rozestupu automobilů z mobilního telefonu umístěného ve vozidle: Vehicle Following Distance Estimation from Mobile Phone in Vehicle.

Degree: 2019, Brno University of Technology

 The aim of this bachelor thesis is to create a mobile application for Android that estimates the distance of vehicles based on vehicle size in… (more)

Subjects/Keywords: odhad vzdálenosti z obrazu; kaskádový klasifikátor; detekce vozidel z obrazu; kalibrace kamery; mobilní aplikace; estimation of distance from image; cascade classifier; vehicle detection from image; camera calibration; mobile application

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zemánek, O. (2019). Odhad rozestupu automobilů z mobilního telefonu umístěného ve vozidle: Vehicle Following Distance Estimation from Mobile Phone in Vehicle. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/69752

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zemánek, Ondřej. “Odhad rozestupu automobilů z mobilního telefonu umístěného ve vozidle: Vehicle Following Distance Estimation from Mobile Phone in Vehicle.” 2019. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/69752.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zemánek, Ondřej. “Odhad rozestupu automobilů z mobilního telefonu umístěného ve vozidle: Vehicle Following Distance Estimation from Mobile Phone in Vehicle.” 2019. Web. 19 Sep 2020.

Vancouver:

Zemánek O. Odhad rozestupu automobilů z mobilního telefonu umístěného ve vozidle: Vehicle Following Distance Estimation from Mobile Phone in Vehicle. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/69752.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zemánek O. Odhad rozestupu automobilů z mobilního telefonu umístěného ve vozidle: Vehicle Following Distance Estimation from Mobile Phone in Vehicle. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/69752

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Iqbal, Muhammad Imran; Aibinu, Abiodun Musa; Gubbal, Nagendra Srinivas. AUTOMATIC DIAGNOSIS OF DIABETIC RETINOPATHY USING FUNDUS IMAGES.

Degree: 2006, , Department of Signal Processing

  This thesis applies the process and knowledge of digital signal processing and image processing to diagnose diabetic retinopathy from images of retina. The Pre-Processing… (more)

Subjects/Keywords: Diabetic Retinopathy; Fundus Image; Digital Image Processing; Segmentation; Retina; Classifier.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Iqbal, Muhammad Imran; Aibinu, Abiodun Musa; Gubbal, N. S. (2006). AUTOMATIC DIAGNOSIS OF DIABETIC RETINOPATHY USING FUNDUS IMAGES. (Thesis). , Department of Signal Processing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4786

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Iqbal, Muhammad Imran; Aibinu, Abiodun Musa; Gubbal, Nagendra Srinivas. “AUTOMATIC DIAGNOSIS OF DIABETIC RETINOPATHY USING FUNDUS IMAGES.” 2006. Thesis, , Department of Signal Processing. Accessed September 19, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4786.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Iqbal, Muhammad Imran; Aibinu, Abiodun Musa; Gubbal, Nagendra Srinivas. “AUTOMATIC DIAGNOSIS OF DIABETIC RETINOPATHY USING FUNDUS IMAGES.” 2006. Web. 19 Sep 2020.

Vancouver:

Iqbal, Muhammad Imran; Aibinu, Abiodun Musa; Gubbal NS. AUTOMATIC DIAGNOSIS OF DIABETIC RETINOPATHY USING FUNDUS IMAGES. [Internet] [Thesis]. , Department of Signal Processing; 2006. [cited 2020 Sep 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4786.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Iqbal, Muhammad Imran; Aibinu, Abiodun Musa; Gubbal NS. AUTOMATIC DIAGNOSIS OF DIABETIC RETINOPATHY USING FUNDUS IMAGES. [Thesis]. , Department of Signal Processing; 2006. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4786

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

17. Černá, Tereza. Detekce a rozpoznání registrační značky vozidla pro analýzu dopravy: License Plate Detection and Recognition for Traffic Analysis.

Degree: 2019, Brno University of Technology

 This thesis describes the design and development of a system for detection and recognition of license plates. The work is divided into three basic parts:… (more)

Subjects/Keywords: Detekce registračních značek vozidel; Optické rozpoznání znaků; Česká registrační značka vozidla; Kaskádový klasifikátor; Lineární klasifikátor SVM; MSER; Zpracování obrazu; Počítačové vidění; Licence plate detection; Optical Character Recognition; Czech Licence plate; Cascade classifier; Linear classifier SVM; MSER; Image Processing; Computer Vision

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Černá, T. (2019). Detekce a rozpoznání registrační značky vozidla pro analýzu dopravy: License Plate Detection and Recognition for Traffic Analysis. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52290

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Černá, Tereza. “Detekce a rozpoznání registrační značky vozidla pro analýzu dopravy: License Plate Detection and Recognition for Traffic Analysis.” 2019. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/52290.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Černá, Tereza. “Detekce a rozpoznání registrační značky vozidla pro analýzu dopravy: License Plate Detection and Recognition for Traffic Analysis.” 2019. Web. 19 Sep 2020.

Vancouver:

Černá T. Detekce a rozpoznání registrační značky vozidla pro analýzu dopravy: License Plate Detection and Recognition for Traffic Analysis. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/52290.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Černá T. Detekce a rozpoznání registrační značky vozidla pro analýzu dopravy: License Plate Detection and Recognition for Traffic Analysis. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/52290

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Watanabe, Carolina Yukari Veludo. Métodos de apoio ao diagnóstico médico por imagens usando regras de associação e redes complexas.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2013, University of São Paulo

Com o desenvolvimento e barateamento dos equipamentos de aquisição de imagens, principalmente na área médica, tem sido geradas muitas imagens, as quais devem ser analisadas… (more)

Subjects/Keywords: Associative classifier; CAD systems; Classificador associativo; Complex networks; Extração de características; Feature extraction; Image mining; Mineração de imagens; Redes complexas; Sistemas de auxílio ao diagnóstico

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Watanabe, C. Y. V. (2013). Métodos de apoio ao diagnóstico médico por imagens usando regras de associação e redes complexas. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10032014-161433/ ;

Chicago Manual of Style (16th Edition):

Watanabe, Carolina Yukari Veludo. “Métodos de apoio ao diagnóstico médico por imagens usando regras de associação e redes complexas.” 2013. Doctoral Dissertation, University of São Paulo. Accessed September 19, 2020. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10032014-161433/ ;.

MLA Handbook (7th Edition):

Watanabe, Carolina Yukari Veludo. “Métodos de apoio ao diagnóstico médico por imagens usando regras de associação e redes complexas.” 2013. Web. 19 Sep 2020.

Vancouver:

Watanabe CYV. Métodos de apoio ao diagnóstico médico por imagens usando regras de associação e redes complexas. [Internet] [Doctoral dissertation]. University of São Paulo; 2013. [cited 2020 Sep 19]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10032014-161433/ ;.

Council of Science Editors:

Watanabe CYV. Métodos de apoio ao diagnóstico médico por imagens usando regras de associação e redes complexas. [Doctoral Dissertation]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10032014-161433/ ;

19. Cavani, Felipe Alves. Análise de cenas de pomares de laranjeiras através de segmentação de imagens e reconhecimento de padrões.

Degree: Mestrado, Manufatura, 2007, University of São Paulo

Os sistemas automáticos são normalmente empregados na indústria com o objetivo de otimizar a produção. Na agro-indústria, estes sistemas são usados com o mesmo propósito,… (more)

Subjects/Keywords: Algoritmo de Figueiredo-Jain; Bayes's classifier; Classificador Bayesiano; Figueiredo-Jain algorithm; Image segmentation; JSEG; JSEG; Multilayer perceptron; Perceptron multicamadas; Reconhecimento de cenas; Scene analysis; Segmentação de imagens

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cavani, F. A. (2007). Análise de cenas de pomares de laranjeiras através de segmentação de imagens e reconhecimento de padrões. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/18/18145/tde-17012011-123819/ ;

Chicago Manual of Style (16th Edition):

Cavani, Felipe Alves. “Análise de cenas de pomares de laranjeiras através de segmentação de imagens e reconhecimento de padrões.” 2007. Masters Thesis, University of São Paulo. Accessed September 19, 2020. http://www.teses.usp.br/teses/disponiveis/18/18145/tde-17012011-123819/ ;.

MLA Handbook (7th Edition):

Cavani, Felipe Alves. “Análise de cenas de pomares de laranjeiras através de segmentação de imagens e reconhecimento de padrões.” 2007. Web. 19 Sep 2020.

Vancouver:

Cavani FA. Análise de cenas de pomares de laranjeiras através de segmentação de imagens e reconhecimento de padrões. [Internet] [Masters thesis]. University of São Paulo; 2007. [cited 2020 Sep 19]. Available from: http://www.teses.usp.br/teses/disponiveis/18/18145/tde-17012011-123819/ ;.

Council of Science Editors:

Cavani FA. Análise de cenas de pomares de laranjeiras através de segmentação de imagens e reconhecimento de padrões. [Masters Thesis]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/18/18145/tde-17012011-123819/ ;


Wright State University

20. Karvir, Hrishikesh. Design and Validation of a Sensor Integration and Feature Fusion Test-Bed for Image-Based Pattern Recognition Applications.

Degree: PhD, Engineering PhD, 2010, Wright State University

  We integrated a sensor hardware test-bed using scientific grade, commercial off-the-shelf (COTS) technology and developed supporting software to enable rapid prototyping. The validity of… (more)

Subjects/Keywords: Engineering; Remote Sensing; Scientific Imaging; Systems Design; Machine learning; Pattern classification; Target detection; Convex hull; Piecewise linear classifier; Image registration; Systems integration; Multi-sensor fusion; Multi-spectral imaging

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Karvir, H. (2010). Design and Validation of a Sensor Integration and Feature Fusion Test-Bed for Image-Based Pattern Recognition Applications. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1291753291

Chicago Manual of Style (16th Edition):

Karvir, Hrishikesh. “Design and Validation of a Sensor Integration and Feature Fusion Test-Bed for Image-Based Pattern Recognition Applications.” 2010. Doctoral Dissertation, Wright State University. Accessed September 19, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1291753291.

MLA Handbook (7th Edition):

Karvir, Hrishikesh. “Design and Validation of a Sensor Integration and Feature Fusion Test-Bed for Image-Based Pattern Recognition Applications.” 2010. Web. 19 Sep 2020.

Vancouver:

Karvir H. Design and Validation of a Sensor Integration and Feature Fusion Test-Bed for Image-Based Pattern Recognition Applications. [Internet] [Doctoral dissertation]. Wright State University; 2010. [cited 2020 Sep 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1291753291.

Council of Science Editors:

Karvir H. Design and Validation of a Sensor Integration and Feature Fusion Test-Bed for Image-Based Pattern Recognition Applications. [Doctoral Dissertation]. Wright State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1291753291


NSYSU

21. Chang-chien, Hsin-yu. Inspection of LCD Light-guide Plate Using Moment-invariants.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2007, NSYSU

 Inspection of LCD light-guide plate using digital image processing is proposed. Binary dot-pattern images from SEM observation are obtained by image segmentation. Pattern recognition for… (more)

Subjects/Keywords: Bayeâs classifier; Neural network; moment invariants; digital image processing; light-guide plate

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APA (6th Edition):

Chang-chien, H. (2007). Inspection of LCD Light-guide Plate Using Moment-invariants. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0910107-155511

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chang-chien, Hsin-yu. “Inspection of LCD Light-guide Plate Using Moment-invariants.” 2007. Thesis, NSYSU. Accessed September 19, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0910107-155511.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chang-chien, Hsin-yu. “Inspection of LCD Light-guide Plate Using Moment-invariants.” 2007. Web. 19 Sep 2020.

Vancouver:

Chang-chien H. Inspection of LCD Light-guide Plate Using Moment-invariants. [Internet] [Thesis]. NSYSU; 2007. [cited 2020 Sep 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0910107-155511.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang-chien H. Inspection of LCD Light-guide Plate Using Moment-invariants. [Thesis]. NSYSU; 2007. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0910107-155511

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

22. Vopálenský, Radek. Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles.

Degree: 2020, Brno University of Technology

 The aim of this master thesis is to design and implementation in language C++ a system for the detection, tracking and classification of vehicles from… (more)

Subjects/Keywords: doprava; detekce; sledování; klasifikace; zpracování obrazu; ROS; kaskádový klasifikátor; Kalmanův filtr; konvoluční neuronová síť; traffic; detection; tracking; classification; image processing; ROS; cascade classifier; Kalman filter; convolutional neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vopálenský, R. (2020). Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189925

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vopálenský, Radek. “Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles.” 2020. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/189925.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vopálenský, Radek. “Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles.” 2020. Web. 19 Sep 2020.

Vancouver:

Vopálenský R. Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/189925.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vopálenský R. Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189925

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

23. Klusoň, Martin. Rozpoznávání karet v systému Android: Cards Recognition Using Android.

Degree: 2018, Brno University of Technology

 This work deals with design of an application for the mobile operating system Android. Application recognize playing cards and their values from image from camera… (more)

Subjects/Keywords: Android; Java; OpenCV; Tess-two; Klasifikátory; Karetní hra; Žolíky; zpracování obrazu.; Android; Java; OpenCV; Tess-two; Classifier; Card game; Rummy; image processing.

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APA (6th Edition):

Klusoň, M. (2018). Rozpoznávání karet v systému Android: Cards Recognition Using Android. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Klusoň, Martin. “Rozpoznávání karet v systému Android: Cards Recognition Using Android.” 2018. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/52483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Klusoň, Martin. “Rozpoznávání karet v systému Android: Cards Recognition Using Android.” 2018. Web. 19 Sep 2020.

Vancouver:

Klusoň M. Rozpoznávání karet v systému Android: Cards Recognition Using Android. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/52483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Klusoň M. Rozpoznávání karet v systému Android: Cards Recognition Using Android. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/52483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

24. Hricko, Jozef. Rozpoznávání ručně psaných číslic pomocí support vector machines: Handwritten Digit Recognition Using Support Vector Machines.

Degree: 2019, Brno University of Technology

 Thesis deals with the options of the hand-written digit and character recognition using open-source libraries. The kernel-based classifiers (support vector machines) are used for the… (more)

Subjects/Keywords: rozpoznávání textu; podpůrné vektory; OCR; zpracování obrazu; extrakce příznaků; grafické uživatelské rozhraní; lineární klasifikátor; pattern recognition; support vector machines; OCR; image processing; feature extraction; graphical user interface; linear classifier

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hricko, J. (2019). Rozpoznávání ručně psaných číslic pomocí support vector machines: Handwritten Digit Recognition Using Support Vector Machines. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/56100

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hricko, Jozef. “Rozpoznávání ručně psaných číslic pomocí support vector machines: Handwritten Digit Recognition Using Support Vector Machines.” 2019. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/56100.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hricko, Jozef. “Rozpoznávání ručně psaných číslic pomocí support vector machines: Handwritten Digit Recognition Using Support Vector Machines.” 2019. Web. 19 Sep 2020.

Vancouver:

Hricko J. Rozpoznávání ručně psaných číslic pomocí support vector machines: Handwritten Digit Recognition Using Support Vector Machines. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/56100.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hricko J. Rozpoznávání ručně psaných číslic pomocí support vector machines: Handwritten Digit Recognition Using Support Vector Machines. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/56100

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

25. Vopálenský, Radek. Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles.

Degree: 2019, Brno University of Technology

 The aim of this master thesis is to design and implement a system for the detection, tracking and classification of vehicles from streams or records from… (more)

Subjects/Keywords: doprava; automobily; detekce; sledování; klasifikace; zpracování obrazu; ROS; kaskádový klasifikátor; Kalmanův filtr; konvoluční neuronová síť; traffic; vehicles; detection; tracking; classification; image processing; ROS; cascade classifier; Kalman filter; convolutional neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vopálenský, R. (2019). Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/84882

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vopálenský, Radek. “Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles.” 2019. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/84882.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vopálenský, Radek. “Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles.” 2019. Web. 19 Sep 2020.

Vancouver:

Vopálenský R. Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/84882.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vopálenský R. Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/84882

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

26. Kučerová, Pavla. Vyhodnocování rozpoznávání obrazu: Evaluation of Image Recognition.

Degree: 2019, Brno University of Technology

 This work deals with pattern recognition methods and possibilities of their evaluation. It involves design and implementation of the method comparing the influence of preprocessing… (more)

Subjects/Keywords: rozpoznávání obrazu; statistické klasifikátory; AdaBoost; SVM; lineární klasifikátor; k-nearest neighbors; image recognition; statistical classifiers; AdaBoost; SVM; linear classifier; k-Nearest Neighbors

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kučerová, P. (2019). Vyhodnocování rozpoznávání obrazu: Evaluation of Image Recognition. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55947

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kučerová, Pavla. “Vyhodnocování rozpoznávání obrazu: Evaluation of Image Recognition.” 2019. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/55947.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kučerová, Pavla. “Vyhodnocování rozpoznávání obrazu: Evaluation of Image Recognition.” 2019. Web. 19 Sep 2020.

Vancouver:

Kučerová P. Vyhodnocování rozpoznávání obrazu: Evaluation of Image Recognition. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/55947.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kučerová P. Vyhodnocování rozpoznávání obrazu: Evaluation of Image Recognition. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55947

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

27. Vopálenský, Radek. Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles.

Degree: 2020, Brno University of Technology

 The aim of this master thesis is to design and implementation in language C++ a system for the detection, tracking and classification of vehicles from… (more)

Subjects/Keywords: doprava; detekce; sledování; klasifikace; zpracování obrazu; ROS; kaskádový klasifikátor; Kalmanův filtr; konvoluční neuronová síť; traffic; detection; tracking; classification; image processing; ROS; cascade classifier; Kalman filter; convolutional neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vopálenský, R. (2020). Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/187279

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vopálenský, Radek. “Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles.” 2020. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/187279.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vopálenský, Radek. “Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles.” 2020. Web. 19 Sep 2020.

Vancouver:

Vopálenský R. Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/187279.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vopálenský R. Detekce, sledování a klasifikace automobilů: Detection, Tracking and Classification of Vehicles. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/187279

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

28. Kolman, Aleš. Detekce obličejů ve videu: Face Detection in Video.

Degree: 2019, Brno University of Technology

 The project is focused on face detection in video. Firstly, it contains a summary of basic color models. Secondly, you can find the description and… (more)

Subjects/Keywords: Detekce obličejů; sledování obličejů; obraz; barevný model; detekce kůže; klasifikátor; kaskáda; Haarovy příznaky; integrální obraz; AdaBoost; Kalmanův filtr; LBP; SVM; neuronové sítě; OpenCV; Face detection; face tracking; image; color model; skin detection; classifier; cascade; Haar features; integral image; AdaBoost; Kalman filter; LBP; SVM; neural networks; OpenCV

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kolman, A. (2019). Detekce obličejů ve videu: Face Detection in Video. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53726

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kolman, Aleš. “Detekce obličejů ve videu: Face Detection in Video.” 2019. Thesis, Brno University of Technology. Accessed September 19, 2020. http://hdl.handle.net/11012/53726.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kolman, Aleš. “Detekce obličejů ve videu: Face Detection in Video.” 2019. Web. 19 Sep 2020.

Vancouver:

Kolman A. Detekce obličejů ve videu: Face Detection in Video. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 19]. Available from: http://hdl.handle.net/11012/53726.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kolman A. Detekce obličejů ve videu: Face Detection in Video. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53726

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Central Queensland University

29. McLeod, Peter. Clustering based classifier for the classification of benign and malignant patterns in digital mammograms.

Degree: 2011, Central Queensland University

 "Breast cancer is a leading cause of cancerous deaths and the most frequently diagnosed form of cancer in women ... The process of interpreting mammograms… (more)

Subjects/Keywords: Breast; Mammography; Diagnostic imaging; Pure basic research.; 080108 Neural, Evolutionary and Fuzzy Computation.; 080106 Image Processing.; 080199 Artificial Intelligence and Image Processing not elsewhere classified.; 920102 Cancer and Related Disorders.; 920203 Diagnostic Methods.; Neural classifier  – Diital mammography  – Clustering  – Breast cancer

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

McLeod, P. (2011). Clustering based classifier for the classification of benign and malignant patterns in digital mammograms. (Thesis). Central Queensland University. Retrieved from http://hdl.cqu.edu.au/10018/916038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

McLeod, Peter. “Clustering based classifier for the classification of benign and malignant patterns in digital mammograms.” 2011. Thesis, Central Queensland University. Accessed September 19, 2020. http://hdl.cqu.edu.au/10018/916038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

McLeod, Peter. “Clustering based classifier for the classification of benign and malignant patterns in digital mammograms.” 2011. Web. 19 Sep 2020.

Vancouver:

McLeod P. Clustering based classifier for the classification of benign and malignant patterns in digital mammograms. [Internet] [Thesis]. Central Queensland University; 2011. [cited 2020 Sep 19]. Available from: http://hdl.cqu.edu.au/10018/916038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

McLeod P. Clustering based classifier for the classification of benign and malignant patterns in digital mammograms. [Thesis]. Central Queensland University; 2011. Available from: http://hdl.cqu.edu.au/10018/916038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


AUT University

30. Norouzifard, Mohammad. Computer Vision and Machine Learning for Glaucoma Detection .

Degree: AUT University

 Deep learning based on computer vision and machine learning is an emerging technology in both the medical imaging industry and academia. Despite the existence of… (more)

Subjects/Keywords: Biomedical engineering; Glaucoma detection; Deep learning; Machine learning; Transfer learning; Convolutional neural network; Traditional classifier; Ensemble model; Pattern recognition; Supervised classifier; unsupervised classifier; Hybrid classifier; RNFL classification; Fundus image classification; Optic disc segmentation; optic cup segmentation; Vision testing; Optokinetic Nystagmus; Eye tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Norouzifard, M. (n.d.). Computer Vision and Machine Learning for Glaucoma Detection . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/13299

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Norouzifard, Mohammad. “Computer Vision and Machine Learning for Glaucoma Detection .” Thesis, AUT University. Accessed September 19, 2020. http://hdl.handle.net/10292/13299.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Norouzifard, Mohammad. “Computer Vision and Machine Learning for Glaucoma Detection .” Web. 19 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Norouzifard M. Computer Vision and Machine Learning for Glaucoma Detection . [Internet] [Thesis]. AUT University; [cited 2020 Sep 19]. Available from: http://hdl.handle.net/10292/13299.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Norouzifard M. Computer Vision and Machine Learning for Glaucoma Detection . [Thesis]. AUT University; Available from: http://hdl.handle.net/10292/13299

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

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