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You searched for subject:(Active contour models). Showing records 1 – 9 of 9 total matches.

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1. Anitha H. Quantitative analysis of vertebral parameters in idiopathic scoliosis using image processing techniques.

Degree: Electronics, 2012, Manipal University

Scoliosis is a three dimensional deformity of human spine comprising coronal plane curvature and axial rotation. Imaging modalities such as radiography, computed tomography (CT) and… (more)

Subjects/Keywords: Morphological operation; Scoliosis; Cobb angle; Vertebral rotation; Hough Transform; Level Set segmentation; Active Contour Models

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

APA (6th Edition):

H, A. (2012). Quantitative analysis of vertebral parameters in idiopathic scoliosis using image processing techniques. (Thesis). Manipal University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/5426

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):

H, Anitha. “Quantitative analysis of vertebral parameters in idiopathic scoliosis using image processing techniques.” 2012. Thesis, Manipal University. Accessed June 02, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/5426.

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

MLA Handbook (7th Edition):

H, Anitha. “Quantitative analysis of vertebral parameters in idiopathic scoliosis using image processing techniques.” 2012. Web. 02 Jun 2020.

Vancouver:

H A. Quantitative analysis of vertebral parameters in idiopathic scoliosis using image processing techniques. [Internet] [Thesis]. Manipal University; 2012. [cited 2020 Jun 02]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/5426.

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

Council of Science Editors:

H A. Quantitative analysis of vertebral parameters in idiopathic scoliosis using image processing techniques. [Thesis]. Manipal University; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/5426

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


Brno University of Technology

2. Hesko, Branislav. Aktivní kontury pro segmentaci ultrazvukových dat: Ultrasound image registration based on active contours.

Degree: 2019, Brno University of Technology

 This diploma thesis aims to implement an active contour method for ultrasound image segmentation. Properties of ultrasound images, basic segmentation approaches and a~principle of choosen… (more)

Subjects/Keywords: ultrazvuk; segmentácia; aktívne kontúry; ultrazvukové obrazy; speckle; metóda hada; ultrasound; segmentation; active contour models; ultrasound images; speckle; snake method

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APA (6th Edition):

Hesko, B. (2019). Aktivní kontury pro segmentaci ultrazvukových dat: Ultrasound image registration based on active contours. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/38932

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):

Hesko, Branislav. “Aktivní kontury pro segmentaci ultrazvukových dat: Ultrasound image registration based on active contours.” 2019. Thesis, Brno University of Technology. Accessed June 02, 2020. http://hdl.handle.net/11012/38932.

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

MLA Handbook (7th Edition):

Hesko, Branislav. “Aktivní kontury pro segmentaci ultrazvukových dat: Ultrasound image registration based on active contours.” 2019. Web. 02 Jun 2020.

Vancouver:

Hesko B. Aktivní kontury pro segmentaci ultrazvukových dat: Ultrasound image registration based on active contours. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Jun 02]. Available from: http://hdl.handle.net/11012/38932.

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

Council of Science Editors:

Hesko B. Aktivní kontury pro segmentaci ultrazvukových dat: Ultrasound image registration based on active contours. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/38932

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


Louisiana State University

3. Vepathur Sitaraman, Srinath. Automatic Active Contour Modelling and Its Potential Application for Non-Destructive Testing.

Degree: MSEE, Electrical and Computer Engineering, 2006, Louisiana State University

Active contouring techniques are very useful in medical imaging, digital mapping, non-destructive ultrasonic evaluation, etc. Therefore, we try to explore and investigate the advanced automatic… (more)

Subjects/Keywords: active contour models; center of divergence; gradient vector flow; automatic intialization

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APA (6th Edition):

Vepathur Sitaraman, S. (2006). Automatic Active Contour Modelling and Its Potential Application for Non-Destructive Testing. (Masters Thesis). Louisiana State University. Retrieved from etd-08222006-201052 ; https://digitalcommons.lsu.edu/gradschool_theses/3910

Chicago Manual of Style (16th Edition):

Vepathur Sitaraman, Srinath. “Automatic Active Contour Modelling and Its Potential Application for Non-Destructive Testing.” 2006. Masters Thesis, Louisiana State University. Accessed June 02, 2020. etd-08222006-201052 ; https://digitalcommons.lsu.edu/gradschool_theses/3910.

MLA Handbook (7th Edition):

Vepathur Sitaraman, Srinath. “Automatic Active Contour Modelling and Its Potential Application for Non-Destructive Testing.” 2006. Web. 02 Jun 2020.

Vancouver:

Vepathur Sitaraman S. Automatic Active Contour Modelling and Its Potential Application for Non-Destructive Testing. [Internet] [Masters thesis]. Louisiana State University; 2006. [cited 2020 Jun 02]. Available from: etd-08222006-201052 ; https://digitalcommons.lsu.edu/gradschool_theses/3910.

Council of Science Editors:

Vepathur Sitaraman S. Automatic Active Contour Modelling and Its Potential Application for Non-Destructive Testing. [Masters Thesis]. Louisiana State University; 2006. Available from: etd-08222006-201052 ; https://digitalcommons.lsu.edu/gradschool_theses/3910


University of Saskatchewan

4. Harrington, Na. Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier.

Degree: 2007, University of Saskatchewan

 Ovarian follicles are spherical structures inside the ovaries which contain developing eggs. Monitoring the development of follicles is necessary for both gynecological medicine (ovarian diseases… (more)

Subjects/Keywords: Naïve Bayes Classifier; Ultrasound Images; Follicle Segmentation; Geometric Active Contour Models

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APA (6th Edition):

Harrington, N. (2007). Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-09122007-164822

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):

Harrington, Na. “Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier.” 2007. Thesis, University of Saskatchewan. Accessed June 02, 2020. http://hdl.handle.net/10388/etd-09122007-164822.

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

MLA Handbook (7th Edition):

Harrington, Na. “Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier.” 2007. Web. 02 Jun 2020.

Vancouver:

Harrington N. Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier. [Internet] [Thesis]. University of Saskatchewan; 2007. [cited 2020 Jun 02]. Available from: http://hdl.handle.net/10388/etd-09122007-164822.

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

Council of Science Editors:

Harrington N. Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier. [Thesis]. University of Saskatchewan; 2007. Available from: http://hdl.handle.net/10388/etd-09122007-164822

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


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

5. Zarpalas, Dimitrios. Μορφολογική ανάλυση και αυτόματη κατάτμηση βιολογικών δομών από ιατρικές απεικονίσεις τους.

Degree: 2014, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

The objective of this dissertation is the development of automatic techniques towards the reliable segmentation of hippocampus from brain magnetic resonance images. Over the last… (more)

Subjects/Keywords: Εγκέφαλος (Υποθάλαμος και ιππόκαμπος); Αυτόματη απομόνωση; Μαγνητική τομογραφία εγκέφαλου; Μοντέλα ενεργών περιγραμματων; Hippocampus; Automatic segmentation; Brain magnetic resonance image; Active contour models

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APA (6th Edition):

Zarpalas, D. (2014). Μορφολογική ανάλυση και αυτόματη κατάτμηση βιολογικών δομών από ιατρικές απεικονίσεις τους. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/34699

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):

Zarpalas, Dimitrios. “Μορφολογική ανάλυση και αυτόματη κατάτμηση βιολογικών δομών από ιατρικές απεικονίσεις τους.” 2014. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed June 02, 2020. http://hdl.handle.net/10442/hedi/34699.

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

MLA Handbook (7th Edition):

Zarpalas, Dimitrios. “Μορφολογική ανάλυση και αυτόματη κατάτμηση βιολογικών δομών από ιατρικές απεικονίσεις τους.” 2014. Web. 02 Jun 2020.

Vancouver:

Zarpalas D. Μορφολογική ανάλυση και αυτόματη κατάτμηση βιολογικών δομών από ιατρικές απεικονίσεις τους. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2014. [cited 2020 Jun 02]. Available from: http://hdl.handle.net/10442/hedi/34699.

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

Council of Science Editors:

Zarpalas D. Μορφολογική ανάλυση και αυτόματη κατάτμηση βιολογικών δομών από ιατρικές απεικονίσεις τους. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2014. Available from: http://hdl.handle.net/10442/hedi/34699

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


Texas Tech University

6. -5505-7480. DETECTION AND SEGMENTATION OF OVERLAPPING RED BLOOD CELLS IN MICROSCOPIC MEDICAL IMAGES OF STAINED PERIPHERAL BLOOD SMEARS.

Degree: MSin Electrical Engineering, Electrical Engineering, 2017, Texas Tech University

 Automated image analysis of slides of stained peripheral blood smears assists with early diagnosis of blood disorders. Automated detection and segmentation of the cells is… (more)

Subjects/Keywords: Medical Image Processing; Meanshift Clustering Algorithm; Snakes Active Contour Models; GVF Snakes; Red Blood Cells; Thin Blood Smears; Cell Detection; Cell Segmentation; Overlapping Cells; Overlapping Red Blood Cells

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APA (6th Edition):

-5505-7480. (2017). DETECTION AND SEGMENTATION OF OVERLAPPING RED BLOOD CELLS IN MICROSCOPIC MEDICAL IMAGES OF STAINED PERIPHERAL BLOOD SMEARS. (Masters Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/82046

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-5505-7480. “DETECTION AND SEGMENTATION OF OVERLAPPING RED BLOOD CELLS IN MICROSCOPIC MEDICAL IMAGES OF STAINED PERIPHERAL BLOOD SMEARS.” 2017. Masters Thesis, Texas Tech University. Accessed June 02, 2020. http://hdl.handle.net/2346/82046.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-5505-7480. “DETECTION AND SEGMENTATION OF OVERLAPPING RED BLOOD CELLS IN MICROSCOPIC MEDICAL IMAGES OF STAINED PERIPHERAL BLOOD SMEARS.” 2017. Web. 02 Jun 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5505-7480. DETECTION AND SEGMENTATION OF OVERLAPPING RED BLOOD CELLS IN MICROSCOPIC MEDICAL IMAGES OF STAINED PERIPHERAL BLOOD SMEARS. [Internet] [Masters thesis]. Texas Tech University; 2017. [cited 2020 Jun 02]. Available from: http://hdl.handle.net/2346/82046.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-5505-7480. DETECTION AND SEGMENTATION OF OVERLAPPING RED BLOOD CELLS IN MICROSCOPIC MEDICAL IMAGES OF STAINED PERIPHERAL BLOOD SMEARS. [Masters Thesis]. Texas Tech University; 2017. Available from: http://hdl.handle.net/2346/82046

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

7. Albalooshi, Fatema A. Self-organizing Approach to Learn a Level-set Function for Object Segmentation in Complex Background Environments.

Degree: PhD, Electrical Engineering, 2015, University of Dayton

 Boundary extraction for object region segmentation is one of the most challenging tasks in image processing and computer vision areas. The complexity of large variations… (more)

Subjects/Keywords: Computer Engineering; Electrical Engineering; active contour models; level set function; self organizing map; lattice Boltzmann method; object segmentation

…ACM active contour models ANN artificial neural network CSOM-CV concurrent self… …II, which includes a summary of active contour models in section 2.1, active contour… …Contour Models Active contours introduced by Kass et al. [2] provided an excellent… …x28;D − 1) dimensional hyper-surface in a D-dimensional space. Active contour models… …contour models can be classified as either parametric active contours (PACs) or… 

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APA (6th Edition):

Albalooshi, F. A. (2015). Self-organizing Approach to Learn a Level-set Function for Object Segmentation in Complex Background Environments. (Doctoral Dissertation). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429545327

Chicago Manual of Style (16th Edition):

Albalooshi, Fatema A. “Self-organizing Approach to Learn a Level-set Function for Object Segmentation in Complex Background Environments.” 2015. Doctoral Dissertation, University of Dayton. Accessed June 02, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429545327.

MLA Handbook (7th Edition):

Albalooshi, Fatema A. “Self-organizing Approach to Learn a Level-set Function for Object Segmentation in Complex Background Environments.” 2015. Web. 02 Jun 2020.

Vancouver:

Albalooshi FA. Self-organizing Approach to Learn a Level-set Function for Object Segmentation in Complex Background Environments. [Internet] [Doctoral dissertation]. University of Dayton; 2015. [cited 2020 Jun 02]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429545327.

Council of Science Editors:

Albalooshi FA. Self-organizing Approach to Learn a Level-set Function for Object Segmentation in Complex Background Environments. [Doctoral Dissertation]. University of Dayton; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429545327


Colorado State University

8. Crawford-Hines, Stewart. Machine learned boundary definitions for an expert's tracing assistant in image processing.

Degree: PhD, Computer Science, 2007, Colorado State University

 Most image processing work addressing boundary definition tasks embeds the assumption that an edge in an image corresponds to the boundary of interest in the… (more)

Subjects/Keywords: visible human imagery; boundary definitions; expert's tracing assistant; ETA; intelligent scissors; IS; active contour models; ACM; boundary-learning system; Image processing; Pattern recognition systems

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

APA (6th Edition):

Crawford-Hines, S. (2007). Machine learned boundary definitions for an expert's tracing assistant in image processing. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/28552

Chicago Manual of Style (16th Edition):

Crawford-Hines, Stewart. “Machine learned boundary definitions for an expert's tracing assistant in image processing.” 2007. Doctoral Dissertation, Colorado State University. Accessed June 02, 2020. http://hdl.handle.net/10217/28552.

MLA Handbook (7th Edition):

Crawford-Hines, Stewart. “Machine learned boundary definitions for an expert's tracing assistant in image processing.” 2007. Web. 02 Jun 2020.

Vancouver:

Crawford-Hines S. Machine learned boundary definitions for an expert's tracing assistant in image processing. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2020 Jun 02]. Available from: http://hdl.handle.net/10217/28552.

Council of Science Editors:

Crawford-Hines S. Machine learned boundary definitions for an expert's tracing assistant in image processing. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/28552

9. Appia, Vikram VijayanBabu. Non-local active contours.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 This thesis deals with image segmentation problems that arise in various computer vision related fields such as medical imaging, satellite imaging, video surveillance, recognition and… (more)

Subjects/Keywords: Active geodesics; Fast marching; Active contour models; Imge segmentation; Motion segmentation; Optical flow; Shape priors; Localized principal component analysis; Pattern perception; Pattern recognition systems; Computer vision

…segmentation technique called Snakes or Active Contour Models. In active contour models, image… …develop techniques that can make active contour models robust against certain classes of local… …contours’. In this thesis, we consider three widely used active contour models: 1) Edge- and… …globally accurate segmentation. In Chapter 5, we consider active contour segmentation models that… …introduction by Kass et al. [51] in their seminal paper, “Snakes: Active Contour Models… 

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

APA (6th Edition):

Appia, V. V. (2012). Non-local active contours. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44739

Chicago Manual of Style (16th Edition):

Appia, Vikram VijayanBabu. “Non-local active contours.” 2012. Doctoral Dissertation, Georgia Tech. Accessed June 02, 2020. http://hdl.handle.net/1853/44739.

MLA Handbook (7th Edition):

Appia, Vikram VijayanBabu. “Non-local active contours.” 2012. Web. 02 Jun 2020.

Vancouver:

Appia VV. Non-local active contours. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2020 Jun 02]. Available from: http://hdl.handle.net/1853/44739.

Council of Science Editors:

Appia VV. Non-local active contours. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44739

.