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You searched for subject:(grey level co occurrence matrix). Showing records 1 – 30 of 21125 total matches.

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1. Sabeenian R S. Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;.

Degree: Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method, 2014, Anna University

Texture Analysis has been an extremely active and fruitful area of newlineresearch over the past twenty years Today texture analysis plays an important newlinerole in… (more)

Subjects/Keywords: Gray Level Co occurrence Matrix; Markov Random Field Matrix

Page 1

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

APA (6th Edition):

S, S. R. (2014). Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/29039

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):

S, Sabeenian R. “Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;.” 2014. Thesis, Anna University. Accessed December 14, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/29039.

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

MLA Handbook (7th Edition):

S, Sabeenian R. “Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;.” 2014. Web. 14 Dec 2019.

Vancouver:

S SR. Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Dec 14]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29039.

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

Council of Science Editors:

S SR. Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29039

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


NSYSU

2. Tsao, Shih-liang. Automated Recognition and Classification of Coral Reefs on Seafloor off Kenting area.

Degree: Master, Marine Environment and Engineering, 2008, NSYSU

 The advantages that a side-scan sonar can offer include large-scale survey areas and high-resolution imagery which can provide the detection and positioning of underwater targets… (more)

Subjects/Keywords: coral reef; gray level co-occurrence matrix; side scan sonar

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APA (6th Edition):

Tsao, S. (2008). Automated Recognition and Classification of Coral Reefs on Seafloor off Kenting area. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901108-141602

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):

Tsao, Shih-liang. “Automated Recognition and Classification of Coral Reefs on Seafloor off Kenting area.” 2008. Thesis, NSYSU. Accessed December 14, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901108-141602.

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

MLA Handbook (7th Edition):

Tsao, Shih-liang. “Automated Recognition and Classification of Coral Reefs on Seafloor off Kenting area.” 2008. Web. 14 Dec 2019.

Vancouver:

Tsao S. Automated Recognition and Classification of Coral Reefs on Seafloor off Kenting area. [Internet] [Thesis]. NSYSU; 2008. [cited 2019 Dec 14]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901108-141602.

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

Council of Science Editors:

Tsao S. Automated Recognition and Classification of Coral Reefs on Seafloor off Kenting area. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0901108-141602

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


NSYSU

3. Li, Ying-Zhang. Automatic Recognition of Artificial Objects in Side-scan Sonar Imerage.

Degree: Master, Marine Environment and Engineering, 2011, NSYSU

 Abstract The interpretation and identification of information from the side-scan sonar imagery are mainly depended on visual observation and personal experiences. Recent studies tended to… (more)

Subjects/Keywords: side-scan sonar; grey level co-occurrence matrix; characteristic function; mean; entropy; homogeneity; Bayesian classification

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APA (6th Edition):

Li, Y. (2011). Automatic Recognition of Artificial Objects in Side-scan Sonar Imerage. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802111-101723

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):

Li, Ying-Zhang. “Automatic Recognition of Artificial Objects in Side-scan Sonar Imerage.” 2011. Thesis, NSYSU. Accessed December 14, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802111-101723.

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

MLA Handbook (7th Edition):

Li, Ying-Zhang. “Automatic Recognition of Artificial Objects in Side-scan Sonar Imerage.” 2011. Web. 14 Dec 2019.

Vancouver:

Li Y. Automatic Recognition of Artificial Objects in Side-scan Sonar Imerage. [Internet] [Thesis]. NSYSU; 2011. [cited 2019 Dec 14]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802111-101723.

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

Council of Science Editors:

Li Y. Automatic Recognition of Artificial Objects in Side-scan Sonar Imerage. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802111-101723

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


Anna University

4. Shanmugam M. Texture based classification of high resolution satellite data using gray level co occurrence matrix and semivariogram techniques;.

Degree: High resolution satellite data using gray level co occurrence matrix and semivariogram techniques, 2014, Anna University

Classification of land use land cover is the basic building block for spatial planning and management In recent years the advancement in satellite surveying has… (more)

Subjects/Keywords: Civil engineering; Gray level co occurrence matrix; Remote sensing; Satellite surveying; Variogram analysis

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APA (6th Edition):

M, S. (2014). Texture based classification of high resolution satellite data using gray level co occurrence matrix and semivariogram techniques;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/23596

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):

M, Shanmugam. “Texture based classification of high resolution satellite data using gray level co occurrence matrix and semivariogram techniques;.” 2014. Thesis, Anna University. Accessed December 14, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/23596.

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

MLA Handbook (7th Edition):

M, Shanmugam. “Texture based classification of high resolution satellite data using gray level co occurrence matrix and semivariogram techniques;.” 2014. Web. 14 Dec 2019.

Vancouver:

M S. Texture based classification of high resolution satellite data using gray level co occurrence matrix and semivariogram techniques;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Dec 14]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23596.

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

Council of Science Editors:

M S. Texture based classification of high resolution satellite data using gray level co occurrence matrix and semivariogram techniques;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23596

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


NSYSU

5. Guo, Meng-wei. Automated Identification and Analysis of Stationary Targets on Seafloor with Sidescan Sonar Imagery.

Degree: Master, Marine Environment and Engineering, 2008, NSYSU

 The normal procedure for the detection of underwater stationary targets is mainly by the application of side-scan sonar. In addition, the identification of targets within… (more)

Subjects/Keywords: bayesian classification; cluster analysis; gray level co-occurrence matrix; side scan sonar

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APA (6th Edition):

Guo, M. (2008). Automated Identification and Analysis of Stationary Targets on Seafloor with Sidescan Sonar Imagery. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0511108-195144

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):

Guo, Meng-wei. “Automated Identification and Analysis of Stationary Targets on Seafloor with Sidescan Sonar Imagery.” 2008. Thesis, NSYSU. Accessed December 14, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0511108-195144.

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

MLA Handbook (7th Edition):

Guo, Meng-wei. “Automated Identification and Analysis of Stationary Targets on Seafloor with Sidescan Sonar Imagery.” 2008. Web. 14 Dec 2019.

Vancouver:

Guo M. Automated Identification and Analysis of Stationary Targets on Seafloor with Sidescan Sonar Imagery. [Internet] [Thesis]. NSYSU; 2008. [cited 2019 Dec 14]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0511108-195144.

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

Council of Science Editors:

Guo M. Automated Identification and Analysis of Stationary Targets on Seafloor with Sidescan Sonar Imagery. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0511108-195144

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


University of Waterloo

6. Leigh, Steve. Automated Ice-Water Classification using Dual Polarization SAR Imagery.

Degree: 2013, University of Waterloo

 Mapping ice and open water in ocean bodies is important for numerous purposes including environmental analysis and ship navigation. The Canadian Ice Service (CIS) currently… (more)

Subjects/Keywords: SAR; synthetic aperture radar; IRGS; SVM; support vector machine; classification; sea ice; RADARSAT-2; grey-level co-occurrence matrix; GLCM

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APA (6th Edition):

Leigh, S. (2013). Automated Ice-Water Classification using Dual Polarization SAR Imagery. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7706

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):

Leigh, Steve. “Automated Ice-Water Classification using Dual Polarization SAR Imagery.” 2013. Thesis, University of Waterloo. Accessed December 14, 2019. http://hdl.handle.net/10012/7706.

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

MLA Handbook (7th Edition):

Leigh, Steve. “Automated Ice-Water Classification using Dual Polarization SAR Imagery.” 2013. Web. 14 Dec 2019.

Vancouver:

Leigh S. Automated Ice-Water Classification using Dual Polarization SAR Imagery. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10012/7706.

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

Council of Science Editors:

Leigh S. Automated Ice-Water Classification using Dual Polarization SAR Imagery. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7706

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


KTH

7. Valieva, Inna. Photometric Methods for Autonomous Tree Species Classification and NIR Quality Inspection.

Degree: Machine Design (Dept.), 2015, KTH

  In this paper the brief overview of methods available for individual tree stems quality evaluation and tree species classification has been performed. The use… (more)

Subjects/Keywords: RGB imaging; NIR imaging; Artificial Neural Networks; Tree species classification; Gray Level Co-occurrence Matrix; Maximally Stable Extremal Regions

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APA (6th Edition):

Valieva, I. (2015). Photometric Methods for Autonomous Tree Species Classification and NIR Quality Inspection. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-176266

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):

Valieva, Inna. “Photometric Methods for Autonomous Tree Species Classification and NIR Quality Inspection.” 2015. Thesis, KTH. Accessed December 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-176266.

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

MLA Handbook (7th Edition):

Valieva, Inna. “Photometric Methods for Autonomous Tree Species Classification and NIR Quality Inspection.” 2015. Web. 14 Dec 2019.

Vancouver:

Valieva I. Photometric Methods for Autonomous Tree Species Classification and NIR Quality Inspection. [Internet] [Thesis]. KTH; 2015. [cited 2019 Dec 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-176266.

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

Council of Science Editors:

Valieva I. Photometric Methods for Autonomous Tree Species Classification and NIR Quality Inspection. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-176266

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


University of Kansas

8. Loganathan, Rajprasad. Textural Analysis of a Fibronectin Network During Early Embryogenesis.

Degree: MS, Electrical Engineering & Computer Science, 2011, University of Kansas

 Fibronectin is a major extracellular matrix molecular component that plays a critical role in embryonic cell motility and morphogenesis. During early development, the fibronectin molecular… (more)

Subjects/Keywords: Electrical engineering; Developmental biology; Extracellular matrix; Gray scale co-occurrence

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APA (6th Edition):

Loganathan, R. (2011). Textural Analysis of a Fibronectin Network During Early Embryogenesis. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/8152

Chicago Manual of Style (16th Edition):

Loganathan, Rajprasad. “Textural Analysis of a Fibronectin Network During Early Embryogenesis.” 2011. Masters Thesis, University of Kansas. Accessed December 14, 2019. http://hdl.handle.net/1808/8152.

MLA Handbook (7th Edition):

Loganathan, Rajprasad. “Textural Analysis of a Fibronectin Network During Early Embryogenesis.” 2011. Web. 14 Dec 2019.

Vancouver:

Loganathan R. Textural Analysis of a Fibronectin Network During Early Embryogenesis. [Internet] [Masters thesis]. University of Kansas; 2011. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1808/8152.

Council of Science Editors:

Loganathan R. Textural Analysis of a Fibronectin Network During Early Embryogenesis. [Masters Thesis]. University of Kansas; 2011. Available from: http://hdl.handle.net/1808/8152

9. Μουστάκα, Μαρία. Ταξινόμηση δεδομένων ραντάρ συνθετικού ανοίγματος (SAR) με χρήση νευρωνικών δικτύων.

Degree: 2013, University of Patras

Η χρήση των δεδομένων Ραντάρ Συνθετικού Ανοίγματος (SAR) σε εφαρμογές απομακρυσμένης παρακολούθησης της Γης έχει ήδη αρχίσει να πρωταγωνιστεί τις τελευταίες δεκαετίες. Τα συστήματα SAR… (more)

Subjects/Keywords: SAR δεδομένα; Ταξινόμηση; Νευρωνικά δίκτυα; Μήτρα συνεμφάνισης φωτεινοτήτων (GLCM); 621.384 850 285 63; SAR data; Classification; Neural networks; Gray level co-occurrence matrix

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APA (6th Edition):

Μουστάκα, . (2013). Ταξινόμηση δεδομένων ραντάρ συνθετικού ανοίγματος (SAR) με χρήση νευρωνικών δικτύων. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/7247

Chicago Manual of Style (16th Edition):

Μουστάκα, Μαρία. “Ταξινόμηση δεδομένων ραντάρ συνθετικού ανοίγματος (SAR) με χρήση νευρωνικών δικτύων.” 2013. Masters Thesis, University of Patras. Accessed December 14, 2019. http://hdl.handle.net/10889/7247.

MLA Handbook (7th Edition):

Μουστάκα, Μαρία. “Ταξινόμηση δεδομένων ραντάρ συνθετικού ανοίγματος (SAR) με χρήση νευρωνικών δικτύων.” 2013. Web. 14 Dec 2019.

Vancouver:

Μουστάκα . Ταξινόμηση δεδομένων ραντάρ συνθετικού ανοίγματος (SAR) με χρήση νευρωνικών δικτύων. [Internet] [Masters thesis]. University of Patras; 2013. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10889/7247.

Council of Science Editors:

Μουστάκα . Ταξινόμηση δεδομένων ραντάρ συνθετικού ανοίγματος (SAR) με χρήση νευρωνικών δικτύων. [Masters Thesis]. University of Patras; 2013. Available from: http://hdl.handle.net/10889/7247


George Mason University

10. Kaur, Balvinder. An Approach to Detect Human Facial Skin in Thermal Imagery .

Degree: 2012, George Mason University

 Image processing tools to detect human skin in visible band imagery have been well explored by many organizations, and approaches have been developed for many… (more)

Subjects/Keywords: human facial skin; principal component analysis; thermal imagery; least mean square optimization; gray-level co-occurrence matrix (GCLM); linear discriminant analysis (LDA)

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APA (6th Edition):

Kaur, B. (2012). An Approach to Detect Human Facial Skin in Thermal Imagery . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/7925

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):

Kaur, Balvinder. “An Approach to Detect Human Facial Skin in Thermal Imagery .” 2012. Thesis, George Mason University. Accessed December 14, 2019. http://hdl.handle.net/1920/7925.

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

MLA Handbook (7th Edition):

Kaur, Balvinder. “An Approach to Detect Human Facial Skin in Thermal Imagery .” 2012. Web. 14 Dec 2019.

Vancouver:

Kaur B. An Approach to Detect Human Facial Skin in Thermal Imagery . [Internet] [Thesis]. George Mason University; 2012. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1920/7925.

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

Council of Science Editors:

Kaur B. An Approach to Detect Human Facial Skin in Thermal Imagery . [Thesis]. George Mason University; 2012. Available from: http://hdl.handle.net/1920/7925

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


University of Central Florida

11. Gadkari, Dhanashree. Image Quality Analysis Using GLCM.

Degree: 2004, University of Central Florida

 Gray level co-occurrence matrix has proven to be a powerful basis for use in texture classification. Various textural parameters calculated from the gray level co-occurrence(more)

Subjects/Keywords: Image quality; Gray level co-occurrence matrix; GLCM; Other Psychology

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APA (6th Edition):

Gadkari, D. (2004). Image Quality Analysis Using GLCM. (Masters Thesis). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/187

Chicago Manual of Style (16th Edition):

Gadkari, Dhanashree. “Image Quality Analysis Using GLCM.” 2004. Masters Thesis, University of Central Florida. Accessed December 14, 2019. https://stars.library.ucf.edu/etd/187.

MLA Handbook (7th Edition):

Gadkari, Dhanashree. “Image Quality Analysis Using GLCM.” 2004. Web. 14 Dec 2019.

Vancouver:

Gadkari D. Image Quality Analysis Using GLCM. [Internet] [Masters thesis]. University of Central Florida; 2004. [cited 2019 Dec 14]. Available from: https://stars.library.ucf.edu/etd/187.

Council of Science Editors:

Gadkari D. Image Quality Analysis Using GLCM. [Masters Thesis]. University of Central Florida; 2004. Available from: https://stars.library.ucf.edu/etd/187


University of Technology, Sydney

12. Wong, Man To. Mass detection and false positive reduction in mammographic images.

Degree: 2015, University of Technology, Sydney

 Breast cancer is the most common type of cancer for women in America. Currently the most effective method for early detection of breast cancer is… (more)

Subjects/Keywords: Breast cancer.; Mammography.; Mass detection accuracy.; Normal breast parenchyma.; Computer aided detection (CAD) system.; False positive reduction.; Particle swarm optimization (PSO).; Support vector machine (SVM).; Gray level co-occurrence matrix (GLCM).; PSO-SVM based feature selection technique.

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APA (6th Edition):

Wong, M. T. (2015). Mass detection and false positive reduction in mammographic images. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/62976

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):

Wong, Man To. “Mass detection and false positive reduction in mammographic images.” 2015. Thesis, University of Technology, Sydney. Accessed December 14, 2019. http://hdl.handle.net/10453/62976.

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

MLA Handbook (7th Edition):

Wong, Man To. “Mass detection and false positive reduction in mammographic images.” 2015. Web. 14 Dec 2019.

Vancouver:

Wong MT. Mass detection and false positive reduction in mammographic images. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10453/62976.

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

Council of Science Editors:

Wong MT. Mass detection and false positive reduction in mammographic images. [Thesis]. University of Technology, Sydney; 2015. Available from: http://hdl.handle.net/10453/62976

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

13. Lee, Matthew Allen. Exploiting spatial and spectral information in hyperdimensional imagery.

Degree: PhD, Electrical and Computer Engineering, 2012, Mississippi State University

  In this dissertation, new digital image processing methods for hyperdimensional imagery are developed and experimentally tested on remotely sensed Earth observations and medical imagery.… (more)

Subjects/Keywords: hyperspectral; band grouping; texture; omni-directional GLCM; gray level co-occurrence matrix

…Based on Gaussian Mixture Models and Gray Level Cooccurrence Matrix” [47]… …Prediction of Cirrhosis Based on Singular Value Decomposition of Gray Level Cooccurrence Matrix… …sign language recognition based on graylevel cooccurrence matrix and other multi‐features… …Entropies of Gray Level‐Gradient Cooccurrence Matrix” [51] computes cooccurrence… …matrix.  “Texture retrieval using greylevel cooccurrence matrix for Ikonos panchromatic… 

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APA (6th Edition):

Lee, M. A. (2012). Exploiting spatial and spectral information in hyperdimensional imagery. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07062012-113220/ ;

Chicago Manual of Style (16th Edition):

Lee, Matthew Allen. “Exploiting spatial and spectral information in hyperdimensional imagery.” 2012. Doctoral Dissertation, Mississippi State University. Accessed December 14, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07062012-113220/ ;.

MLA Handbook (7th Edition):

Lee, Matthew Allen. “Exploiting spatial and spectral information in hyperdimensional imagery.” 2012. Web. 14 Dec 2019.

Vancouver:

Lee MA. Exploiting spatial and spectral information in hyperdimensional imagery. [Internet] [Doctoral dissertation]. Mississippi State University; 2012. [cited 2019 Dec 14]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07062012-113220/ ;.

Council of Science Editors:

Lee MA. Exploiting spatial and spectral information in hyperdimensional imagery. [Doctoral Dissertation]. Mississippi State University; 2012. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07062012-113220/ ;


University of Alberta

14. E Elahi, G M Mashrur. Gradient Based Novel Texture Feature Extraction Methods For Texture Classification.

Degree: MS, Department of Computing Science, 2016, University of Alberta

 Texture analysis is a well-known research topic in computer vision and image processing and has many applications. For example, texture features in image classification have… (more)

Subjects/Keywords: Texture Analysis; Oriented Gradients; Co-occurrence matrix; Co-occurrence histograms of oriented gradients; Magnetic Resonance Images (MRI)

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

APA (6th Edition):

E Elahi, G. M. M. (2016). Gradient Based Novel Texture Feature Extraction Methods For Texture Classification. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cvx021f37k

Chicago Manual of Style (16th Edition):

E Elahi, G M Mashrur. “Gradient Based Novel Texture Feature Extraction Methods For Texture Classification.” 2016. Masters Thesis, University of Alberta. Accessed December 14, 2019. https://era.library.ualberta.ca/files/cvx021f37k.

MLA Handbook (7th Edition):

E Elahi, G M Mashrur. “Gradient Based Novel Texture Feature Extraction Methods For Texture Classification.” 2016. Web. 14 Dec 2019.

Vancouver:

E Elahi GMM. Gradient Based Novel Texture Feature Extraction Methods For Texture Classification. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2019 Dec 14]. Available from: https://era.library.ualberta.ca/files/cvx021f37k.

Council of Science Editors:

E Elahi GMM. Gradient Based Novel Texture Feature Extraction Methods For Texture Classification. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cvx021f37k


University of Waterloo

15. Jobanputra, Rishi. Preserving Texture Boundaries for SAR Sea Ice Segmentation.

Degree: 2004, University of Waterloo

 Texture analysis has been used extensively in the computer-assisted interpretation of SAR sea ice imagery. Provision of maps which distinguish relevant ice types is significant… (more)

Subjects/Keywords: Systems Design; Grey level co-occurrence probabilities; texture analysis; image segmentation; SAR sea ice; texture features

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APA (6th Edition):

Jobanputra, R. (2004). Preserving Texture Boundaries for SAR Sea Ice Segmentation. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/913

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):

Jobanputra, Rishi. “Preserving Texture Boundaries for SAR Sea Ice Segmentation.” 2004. Thesis, University of Waterloo. Accessed December 14, 2019. http://hdl.handle.net/10012/913.

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

MLA Handbook (7th Edition):

Jobanputra, Rishi. “Preserving Texture Boundaries for SAR Sea Ice Segmentation.” 2004. Web. 14 Dec 2019.

Vancouver:

Jobanputra R. Preserving Texture Boundaries for SAR Sea Ice Segmentation. [Internet] [Thesis]. University of Waterloo; 2004. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10012/913.

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

Council of Science Editors:

Jobanputra R. Preserving Texture Boundaries for SAR Sea Ice Segmentation. [Thesis]. University of Waterloo; 2004. Available from: http://hdl.handle.net/10012/913

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


NSYSU

16. Sun, Yung-Da. A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data.

Degree: PhD, Marine Environment and Engineering, 2017, NSYSU

 In recent years, Airborne Bathymetric Light Detection and Ranging (LiDAR) has been applied intensively to map coastal depth as well as for seabed classification. In… (more)

Subjects/Keywords: gray co-occurrence matrices (GLCM); Support Vector Machine (SVM); K-means; Hybrid method; bathymetric LiDAR data

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

APA (6th Edition):

Sun, Y. (2017). A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609117-235215

Chicago Manual of Style (16th Edition):

Sun, Yung-Da. “A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data.” 2017. Doctoral Dissertation, NSYSU. Accessed December 14, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609117-235215.

MLA Handbook (7th Edition):

Sun, Yung-Da. “A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data.” 2017. Web. 14 Dec 2019.

Vancouver:

Sun Y. A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data. [Internet] [Doctoral dissertation]. NSYSU; 2017. [cited 2019 Dec 14]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609117-235215.

Council of Science Editors:

Sun Y. A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data. [Doctoral Dissertation]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609117-235215


Brno University of Technology

17. Kaňka, Jan. Texturní analýza oftalmologických snímků .

Degree: 2010, Brno University of Technology

 Tato práce se zabývá vytvořením programu pro texturní analýzu snímků retinální oblasti pomocí statistické metody co-occurrence matrices jako možnou alternativu detekce poškození sítnice glaukomem. Glaukomové… (more)

Subjects/Keywords: co-occurrence matrix; statistika; retina; sítnice; fundus kamera; oftalmologie; texturní analýza; glaukom; korelační koeficienty; entropie; co-occurrence matrix; statistic; retina; fundus camera; opthalmology; textural analysis; glaucoma; correlation coefficient; entropy

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

APA (6th Edition):

Kaňka, J. (2010). Texturní analýza oftalmologických snímků . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/16293

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):

Kaňka, Jan. “Texturní analýza oftalmologických snímků .” 2010. Thesis, Brno University of Technology. Accessed December 14, 2019. http://hdl.handle.net/11012/16293.

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

MLA Handbook (7th Edition):

Kaňka, Jan. “Texturní analýza oftalmologických snímků .” 2010. Web. 14 Dec 2019.

Vancouver:

Kaňka J. Texturní analýza oftalmologických snímků . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/11012/16293.

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

Council of Science Editors:

Kaňka J. Texturní analýza oftalmologických snímků . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/16293

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


University of Georgia

18. Linton, Sonia Colette. A case study comparative of challenges and opportunities for green infrastructure implementation in coastal regions.

Degree: MEPD, Environmental Planning and Design, 2018, University of Georgia

 As storm size and intensity increases in the future along with the rise in sea levels, coastal regions are set to experience greater damage to… (more)

Subjects/Keywords: climate change; sea-level rise; grey infrastructure; green infrastructure; coastal resilience; comparative matrix

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

APA (6th Edition):

Linton, S. C. (2018). A case study comparative of challenges and opportunities for green infrastructure implementation in coastal regions. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/38441

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):

Linton, Sonia Colette. “A case study comparative of challenges and opportunities for green infrastructure implementation in coastal regions.” 2018. Thesis, University of Georgia. Accessed December 14, 2019. http://hdl.handle.net/10724/38441.

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

MLA Handbook (7th Edition):

Linton, Sonia Colette. “A case study comparative of challenges and opportunities for green infrastructure implementation in coastal regions.” 2018. Web. 14 Dec 2019.

Vancouver:

Linton SC. A case study comparative of challenges and opportunities for green infrastructure implementation in coastal regions. [Internet] [Thesis]. University of Georgia; 2018. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10724/38441.

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

Council of Science Editors:

Linton SC. A case study comparative of challenges and opportunities for green infrastructure implementation in coastal regions. [Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/38441

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

19. Caicedo-Castro, Isaac. S³niffer : un système de recherche de service basé sur leur description : S3niffer : A text description-based service search system.

Degree: Docteur es, Informatique, 2015, Grenoble Alpes; Universidad nacional de Colombia

Dans cette recherche, nous abordons le problème de le recherche de services qui répondent à des besoins des utilisateurs exprimés sous forme de requête en… (more)

Subjects/Keywords: Recherche d'information; Thésaurus de co-occurrence; Factorisation matricielle; La science des services; Information retrieval; Co-occurrence thesaurus; Matrix Factorisation; Service science; 004

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APA (6th Edition):

Caicedo-Castro, I. (2015). S³niffer : un système de recherche de service basé sur leur description : S3niffer : A text description-based service search system. (Doctoral Dissertation). Grenoble Alpes; Universidad nacional de Colombia. Retrieved from http://www.theses.fr/2015GREAM012

Chicago Manual of Style (16th Edition):

Caicedo-Castro, Isaac. “S³niffer : un système de recherche de service basé sur leur description : S3niffer : A text description-based service search system.” 2015. Doctoral Dissertation, Grenoble Alpes; Universidad nacional de Colombia. Accessed December 14, 2019. http://www.theses.fr/2015GREAM012.

MLA Handbook (7th Edition):

Caicedo-Castro, Isaac. “S³niffer : un système de recherche de service basé sur leur description : S3niffer : A text description-based service search system.” 2015. Web. 14 Dec 2019.

Vancouver:

Caicedo-Castro I. S³niffer : un système de recherche de service basé sur leur description : S3niffer : A text description-based service search system. [Internet] [Doctoral dissertation]. Grenoble Alpes; Universidad nacional de Colombia; 2015. [cited 2019 Dec 14]. Available from: http://www.theses.fr/2015GREAM012.

Council of Science Editors:

Caicedo-Castro I. S³niffer : un système de recherche de service basé sur leur description : S3niffer : A text description-based service search system. [Doctoral Dissertation]. Grenoble Alpes; Universidad nacional de Colombia; 2015. Available from: http://www.theses.fr/2015GREAM012


Cornell University

20. Lee, Moontae. Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis .

Degree: 2018, Cornell University

Co-occurrence information is powerful statistics that can model various discrete objects by their joint instances with other objects. Transforming unsupervised problems of learning low-dimensional geometry… (more)

Subjects/Keywords: Statistics; Applied mathematics; Anchor Word Algorithm; Co-occurrence Modeling; Joint-Stochastic Matrix Factorization; Rectification; Spectral Inference; Topic Modeling; Artificial intelligence

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APA (6th Edition):

Lee, M. (2018). Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59414

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):

Lee, Moontae. “Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis .” 2018. Thesis, Cornell University. Accessed December 14, 2019. http://hdl.handle.net/1813/59414.

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

MLA Handbook (7th Edition):

Lee, Moontae. “Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis .” 2018. Web. 14 Dec 2019.

Vancouver:

Lee M. Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1813/59414.

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

Council of Science Editors:

Lee M. Joint-stochastic Spectral Inference for Robust Co-occurrence Modeling and Latent Topic Analysis . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59414

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


Queens University

21. Turner, Katelyn. The Influence of Dispersal on Zooplankton Community Structure and Species Co-Occurrence Patterns .

Degree: Biology, 2011, Queens University

 The influence of regional processes, such as dispersal, on ecological communities has been the focal point of considerable ecological research. Evidence has shown that dispersal… (more)

Subjects/Keywords: Zooplankton Community; Co-Occurrence Patterns

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APA (6th Edition):

Turner, K. (2011). The Influence of Dispersal on Zooplankton Community Structure and Species Co-Occurrence Patterns . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/6781

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):

Turner, Katelyn. “The Influence of Dispersal on Zooplankton Community Structure and Species Co-Occurrence Patterns .” 2011. Thesis, Queens University. Accessed December 14, 2019. http://hdl.handle.net/1974/6781.

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

MLA Handbook (7th Edition):

Turner, Katelyn. “The Influence of Dispersal on Zooplankton Community Structure and Species Co-Occurrence Patterns .” 2011. Web. 14 Dec 2019.

Vancouver:

Turner K. The Influence of Dispersal on Zooplankton Community Structure and Species Co-Occurrence Patterns . [Internet] [Thesis]. Queens University; 2011. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1974/6781.

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

Council of Science Editors:

Turner K. The Influence of Dispersal on Zooplankton Community Structure and Species Co-Occurrence Patterns . [Thesis]. Queens University; 2011. Available from: http://hdl.handle.net/1974/6781

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


Universidade Federal de Viçosa

22. Bruno Geike de Andrade. Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais.

Degree: 2013, Universidade Federal de Viçosa

A distinção entre carvões produzidos com madeira de eucalipto daqueles produzidos com madeira de espécies nativas é importante para a comercialização, controle e fiscalização da… (more)

Subjects/Keywords: TECNOLOGIA E UTILIZACAO DE PRODUTOS FLORESTAIS; Classificador de bayes; Matriz de coocorrência; Análise de textura; Bayes classifier; Co-occurrence matrix; Texture analysis

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APA (6th Edition):

Andrade, B. G. d. (2013). Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais. (Thesis). Universidade Federal de Viçosa. Retrieved from http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4994

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):

Andrade, Bruno Geike de. “Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais.” 2013. Thesis, Universidade Federal de Viçosa. Accessed December 14, 2019. http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4994.

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

MLA Handbook (7th Edition):

Andrade, Bruno Geike de. “Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais.” 2013. Web. 14 Dec 2019.

Vancouver:

Andrade BGd. Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais. [Internet] [Thesis]. Universidade Federal de Viçosa; 2013. [cited 2019 Dec 14]. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4994.

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

Council of Science Editors:

Andrade BGd. Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais. [Thesis]. Universidade Federal de Viçosa; 2013. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4994

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


Virginia Tech

23. Ramirez, Rachael Angela. Computer Vision Based Analysis of Broccoli for Application in a Selective Autonomous Harvester.

Degree: MS, Mechanical Engineering, 2006, Virginia Tech

 As technology advances in all areas of society and industry, the technology used to produce one of life's essentials - food - is also improving.… (more)

Subjects/Keywords: autonomous vehicle; mechanical harvester; computer vision; broccoli; co-occurrence matrix; texture analysis

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

APA (6th Edition):

Ramirez, R. A. (2006). Computer Vision Based Analysis of Broccoli for Application in a Selective Autonomous Harvester. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/34311

Chicago Manual of Style (16th Edition):

Ramirez, Rachael Angela. “Computer Vision Based Analysis of Broccoli for Application in a Selective Autonomous Harvester.” 2006. Masters Thesis, Virginia Tech. Accessed December 14, 2019. http://hdl.handle.net/10919/34311.

MLA Handbook (7th Edition):

Ramirez, Rachael Angela. “Computer Vision Based Analysis of Broccoli for Application in a Selective Autonomous Harvester.” 2006. Web. 14 Dec 2019.

Vancouver:

Ramirez RA. Computer Vision Based Analysis of Broccoli for Application in a Selective Autonomous Harvester. [Internet] [Masters thesis]. Virginia Tech; 2006. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10919/34311.

Council of Science Editors:

Ramirez RA. Computer Vision Based Analysis of Broccoli for Application in a Selective Autonomous Harvester. [Masters Thesis]. Virginia Tech; 2006. Available from: http://hdl.handle.net/10919/34311


University of Arizona

24. Patel, Mehul Bhupendra. Image Analysis Algorithms for Ovarian Cancer Detection Using Confocal Microendoscopy .

Degree: 2008, University of Arizona

 Confocal microendoscopy is a promising new diagnostic imaging technique that is minimally invasive and provides in-vivo cellular-level images of tissue. In this study, we developed… (more)

Subjects/Keywords: texture analysis; focus detection; image mosaicing; fast image registration; co-occurrence matrix

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

APA (6th Edition):

Patel, M. B. (2008). Image Analysis Algorithms for Ovarian Cancer Detection Using Confocal Microendoscopy . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/193311

Chicago Manual of Style (16th Edition):

Patel, Mehul Bhupendra. “Image Analysis Algorithms for Ovarian Cancer Detection Using Confocal Microendoscopy .” 2008. Masters Thesis, University of Arizona. Accessed December 14, 2019. http://hdl.handle.net/10150/193311.

MLA Handbook (7th Edition):

Patel, Mehul Bhupendra. “Image Analysis Algorithms for Ovarian Cancer Detection Using Confocal Microendoscopy .” 2008. Web. 14 Dec 2019.

Vancouver:

Patel MB. Image Analysis Algorithms for Ovarian Cancer Detection Using Confocal Microendoscopy . [Internet] [Masters thesis]. University of Arizona; 2008. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10150/193311.

Council of Science Editors:

Patel MB. Image Analysis Algorithms for Ovarian Cancer Detection Using Confocal Microendoscopy . [Masters Thesis]. University of Arizona; 2008. Available from: http://hdl.handle.net/10150/193311


University of Louisville

25. Zachary, Austin. Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism.

Degree: MS, 2018, University of Louisville

  Anxiety has shown to have a high co-occurrence in children with Autism Spectrum Disorder (ASD), but has been difficult to co-diagnose. This study analyzed… (more)

Subjects/Keywords: autism; anxiety; co-occurrence; LASSO; Epidemiology

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APA (6th Edition):

Zachary, A. (2018). Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/3093 ; https://ir.library.louisville.edu/etd/3093

Chicago Manual of Style (16th Edition):

Zachary, Austin. “Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism.” 2018. Masters Thesis, University of Louisville. Accessed December 14, 2019. 10.18297/etd/3093 ; https://ir.library.louisville.edu/etd/3093.

MLA Handbook (7th Edition):

Zachary, Austin. “Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism.” 2018. Web. 14 Dec 2019.

Vancouver:

Zachary A. Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism. [Internet] [Masters thesis]. University of Louisville; 2018. [cited 2019 Dec 14]. Available from: 10.18297/etd/3093 ; https://ir.library.louisville.edu/etd/3093.

Council of Science Editors:

Zachary A. Evaluation of the predictive ability of a screening instrument used to diagnose co-occurrence of anxiety in children with high-functioning autism. [Masters Thesis]. University of Louisville; 2018. Available from: 10.18297/etd/3093 ; https://ir.library.louisville.edu/etd/3093


University of Utah

26. Simonic, Klemen. Concept aware co-occurrence and its applications.

Degree: MS, School of Computing, 2015, University of Utah

 Term co-occurrence data has been extensively used in many applications ranging from information retrieval to word sense disambiguation. There are two major limitations of co-occurrence(more)

Subjects/Keywords: Concept co-occurrence; Isa relations; Query undertstanding; Short text understanding; Term co-occurrence

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

APA (6th Edition):

Simonic, K. (2015). Concept aware co-occurrence and its applications. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3839/rec/535

Chicago Manual of Style (16th Edition):

Simonic, Klemen. “Concept aware co-occurrence and its applications.” 2015. Masters Thesis, University of Utah. Accessed December 14, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3839/rec/535.

MLA Handbook (7th Edition):

Simonic, Klemen. “Concept aware co-occurrence and its applications.” 2015. Web. 14 Dec 2019.

Vancouver:

Simonic K. Concept aware co-occurrence and its applications. [Internet] [Masters thesis]. University of Utah; 2015. [cited 2019 Dec 14]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3839/rec/535.

Council of Science Editors:

Simonic K. Concept aware co-occurrence and its applications. [Masters Thesis]. University of Utah; 2015. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3839/rec/535


Brno University of Technology

27. Hanyášová, Lucie. Metody texturní analýzy v medicínských obrazech .

Degree: 2008, Brno University of Technology

 Práce je zaměřena na zpracování přehledu nejpoužívanějších metod texturní analýzy. Hlavním cílem je zpracování texturní analýzy pro fotografie očního pozadí zaměřená na rozpoznání rozdílu mezi… (more)

Subjects/Keywords: texturní analýza; co-occurrence matice; barevné prostory; texturní příznaky; glaukom; statistické metody; texture analysis; co-occurrence matrix; color spaces; texture features; glaucom; statistical methods

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APA (6th Edition):

Hanyášová, L. (2008). Metody texturní analýzy v medicínských obrazech . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/4016

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):

Hanyášová, Lucie. “Metody texturní analýzy v medicínských obrazech .” 2008. Thesis, Brno University of Technology. Accessed December 14, 2019. http://hdl.handle.net/11012/4016.

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

MLA Handbook (7th Edition):

Hanyášová, Lucie. “Metody texturní analýzy v medicínských obrazech .” 2008. Web. 14 Dec 2019.

Vancouver:

Hanyášová L. Metody texturní analýzy v medicínských obrazech . [Internet] [Thesis]. Brno University of Technology; 2008. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/11012/4016.

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

Council of Science Editors:

Hanyášová L. Metody texturní analýzy v medicínských obrazech . [Thesis]. Brno University of Technology; 2008. Available from: http://hdl.handle.net/11012/4016

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

28. Σκουρολιάκου, Αικατερίνη. Αξιολόγηση παραμέτρων της τεχνικής υπερήχων με δυναμική ψηφιακή ανάλυση των χαρακτηριστικών εικόνας.

Degree: 2006, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ)

Subjects/Keywords: Υπερηχοτομογραφία; Θυροειδής αδένας; Πίνακες στατιστικής συσχέτισης; Παράμετροι χαρακτηρισμού υφής; Ultrasound; Thyroid; Co - occurrence matrix; Texture features

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

APA (6th Edition):

Σκουρολιάκου, . . (2006). Αξιολόγηση παραμέτρων της τεχνικής υπερήχων με δυναμική ψηφιακή ανάλυση των χαρακτηριστικών εικόνας. (Thesis). National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Retrieved from http://hdl.handle.net/10442/hedi/14818

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):

Σκουρολιάκου, Αικατερίνη. “Αξιολόγηση παραμέτρων της τεχνικής υπερήχων με δυναμική ψηφιακή ανάλυση των χαρακτηριστικών εικόνας.” 2006. Thesis, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Accessed December 14, 2019. http://hdl.handle.net/10442/hedi/14818.

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

MLA Handbook (7th Edition):

Σκουρολιάκου, Αικατερίνη. “Αξιολόγηση παραμέτρων της τεχνικής υπερήχων με δυναμική ψηφιακή ανάλυση των χαρακτηριστικών εικόνας.” 2006. Web. 14 Dec 2019.

Vancouver:

Σκουρολιάκου . Αξιολόγηση παραμέτρων της τεχνικής υπερήχων με δυναμική ψηφιακή ανάλυση των χαρακτηριστικών εικόνας. [Internet] [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2006. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/10442/hedi/14818.

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

Council of Science Editors:

Σκουρολιάκου . Αξιολόγηση παραμέτρων της τεχνικής υπερήχων με δυναμική ψηφιακή ανάλυση των χαρακτηριστικών εικόνας. [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2006. Available from: http://hdl.handle.net/10442/hedi/14818

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


Louisiana State University

29. DiBiano, Robert Jacob. Novel Texture-based Probabilistic Object Recognition and Tracking Techniques for Food Intake Analysis and Traffic Monitoring.

Degree: PhD, Electrical and Computer Engineering, 2015, Louisiana State University

 More complex image understanding algorithms are increasingly practical in a host of emerging applications. Object tracking has value in surveillance and data farming; and object… (more)

Subjects/Keywords: Object Recognition; Food Recognition; Machine Vision; Texture Analysis; Co-occurrence matrix; Graph-cuts; GrabCuts; Food-intake; Energy Intake; Nutrition Assessment; Portion size estimation; Object Tracking; Motion Model; Appearance Model; Gaussian Mixture Background Subtraction; Optical Flow; Full Motion Video; Confidence-based Spatio-temporal filtering; Agile Tracking; Ensemble Algorithm

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

APA (6th Edition):

DiBiano, R. J. (2015). Novel Texture-based Probabilistic Object Recognition and Tracking Techniques for Food Intake Analysis and Traffic Monitoring. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-10022015-140942 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1218

Chicago Manual of Style (16th Edition):

DiBiano, Robert Jacob. “Novel Texture-based Probabilistic Object Recognition and Tracking Techniques for Food Intake Analysis and Traffic Monitoring.” 2015. Doctoral Dissertation, Louisiana State University. Accessed December 14, 2019. etd-10022015-140942 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1218.

MLA Handbook (7th Edition):

DiBiano, Robert Jacob. “Novel Texture-based Probabilistic Object Recognition and Tracking Techniques for Food Intake Analysis and Traffic Monitoring.” 2015. Web. 14 Dec 2019.

Vancouver:

DiBiano RJ. Novel Texture-based Probabilistic Object Recognition and Tracking Techniques for Food Intake Analysis and Traffic Monitoring. [Internet] [Doctoral dissertation]. Louisiana State University; 2015. [cited 2019 Dec 14]. Available from: etd-10022015-140942 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1218.

Council of Science Editors:

DiBiano RJ. Novel Texture-based Probabilistic Object Recognition and Tracking Techniques for Food Intake Analysis and Traffic Monitoring. [Doctoral Dissertation]. Louisiana State University; 2015. Available from: etd-10022015-140942 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1218


University of Edinburgh

30. Misnadin, Misnadin. Phonetics and phonology of the three-way laryngeal contrast in Madurese.

Degree: PhD, 2016, University of Edinburgh

 Madurese, a Western Malayo-Polynesian language spoken on the Indonesian island of Madura, exhibits a three-way laryngeal contrast distinguishing between voiced, voiceless unaspirated and voiceless aspirated… (more)

Subjects/Keywords: 499; Madurese; three-way contrast; VOT; voicing; stops; co-occurrence restriction

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

APA (6th Edition):

Misnadin, M. (2016). Phonetics and phonology of the three-way laryngeal contrast in Madurese. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/23614

Chicago Manual of Style (16th Edition):

Misnadin, Misnadin. “Phonetics and phonology of the three-way laryngeal contrast in Madurese.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed December 14, 2019. http://hdl.handle.net/1842/23614.

MLA Handbook (7th Edition):

Misnadin, Misnadin. “Phonetics and phonology of the three-way laryngeal contrast in Madurese.” 2016. Web. 14 Dec 2019.

Vancouver:

Misnadin M. Phonetics and phonology of the three-way laryngeal contrast in Madurese. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Dec 14]. Available from: http://hdl.handle.net/1842/23614.

Council of Science Editors:

Misnadin M. Phonetics and phonology of the three-way laryngeal contrast in Madurese. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/23614

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