Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/382921
Title: Image segmentation using compound normal with gamma mixture model and its truncated version
Researcher: Viziananda Row, S.
Guide(s): Srinivasa Rao, P. and Srinivasa Rao, K.
Keywords: Automation and Control Systems
Compound Distributions.
Computer Science
Engineering and Technology
Expectation Maximization(EM) framework.
Image Segmentation- Compound Normal with Gamma Mixture Model.
Mixture Distributions.
Truncated Distributions.
Truncated Version-Compound Normal with Gamma Mixture Model-Image Segmentation.
University: Andhra University
Completed Date: 2016
Abstract: None
Pagination: ix, 157p.
URI: http://hdl.handle.net/10603/382921
Appears in Departments:Department of Computer Science & Systems Engineering

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01_title.pdfAttached File78.61 kBAdobe PDFView/Open
02_dedication.pdf3.86 kBAdobe PDFView/Open
03_declaration.pdf7.74 kBAdobe PDFView/Open
04_certificate.pdf8.46 kBAdobe PDFView/Open
05_acknowledgements.pdf10.42 kBAdobe PDFView/Open
06_contents.pdf76.32 kBAdobe PDFView/Open
07_list of figures.pdf41.66 kBAdobe PDFView/Open
08_list of tables.pdf44.51 kBAdobe PDFView/Open
09_list of acronyms.pdf10.12 kBAdobe PDFView/Open
10_glossary of notations.pdf99.39 kBAdobe PDFView/Open
11_chapter 1.pdf209.86 kBAdobe PDFView/Open
12_chapter 2.pdf157.66 kBAdobe PDFView/Open
13_chapter 3.pdf143.16 kBAdobe PDFView/Open
14_chapter 4.pdf686.89 kBAdobe PDFView/Open
15_chapter 5.pdf165.52 kBAdobe PDFView/Open
16_chapter 6.pdf809.21 kBAdobe PDFView/Open
17_summary and conclusions.pdf84.25 kBAdobe PDFView/Open
18_references.pdf67.96 kBAdobe PDFView/Open
19_appendices.pdf1.36 MBAdobe PDFView/Open
80_recommendation.pdf161.71 kBAdobe PDFView/Open
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