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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 78.61 kB | Adobe PDF | View/Open |
02_dedication.pdf | 3.86 kB | Adobe PDF | View/Open | |
03_declaration.pdf | 7.74 kB | Adobe PDF | View/Open | |
04_certificate.pdf | 8.46 kB | Adobe PDF | View/Open | |
05_acknowledgements.pdf | 10.42 kB | Adobe PDF | View/Open | |
06_contents.pdf | 76.32 kB | Adobe PDF | View/Open | |
07_list of figures.pdf | 41.66 kB | Adobe PDF | View/Open | |
08_list of tables.pdf | 44.51 kB | Adobe PDF | View/Open | |
09_list of acronyms.pdf | 10.12 kB | Adobe PDF | View/Open | |
10_glossary of notations.pdf | 99.39 kB | Adobe PDF | View/Open | |
11_chapter 1.pdf | 209.86 kB | Adobe PDF | View/Open | |
12_chapter 2.pdf | 157.66 kB | Adobe PDF | View/Open | |
13_chapter 3.pdf | 143.16 kB | Adobe PDF | View/Open | |
14_chapter 4.pdf | 686.89 kB | Adobe PDF | View/Open | |
15_chapter 5.pdf | 165.52 kB | Adobe PDF | View/Open | |
16_chapter 6.pdf | 809.21 kB | Adobe PDF | View/Open | |
17_summary and conclusions.pdf | 84.25 kB | Adobe PDF | View/Open | |
18_references.pdf | 67.96 kB | Adobe PDF | View/Open | |
19_appendices.pdf | 1.36 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 161.71 kB | Adobe PDF | View/Open |
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