Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil
Nowadays, there are so many prostate cancers among American men and is the second leading cause of deaths from cancer. Prostate cell segmentation is a process of identifying abnormal cell based on texture. This prototype is developed specially to segment abnormal cell from normal cell. It is hard to...
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2012
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| Online Access: | https://ir.uitm.edu.my/id/eprint/87113/1/87113.pdf |
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my-uitm-ir.871132024-02-02T01:18:04Z Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil 2012 Ahmad Khalil, Nursyazwani Thermodynamics Research. Experimentation Nowadays, there are so many prostate cancers among American men and is the second leading cause of deaths from cancer. Prostate cell segmentation is a process of identifying abnormal cell based on texture. This prototype is developed specially to segment abnormal cell from normal cell. It is hard to differentiate between the normal cell and abnormal cell because there are located close to each other. Both cells and neighboring cells have almost exactly similar intensities, thus making it hard to distinguish. To solve the problem, entropy filtering method is used to segment this prototype and using thresholding technique with morphological enhancement to extract the abnormal cell. 2012 Thesis https://ir.uitm.edu.my/id/eprint/87113/ https://ir.uitm.edu.my/id/eprint/87113/1/87113.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Jamil, Nursuriati |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Jamil, Nursuriati |
| topic |
Thermodynamics Thermodynamics |
| spellingShingle |
Thermodynamics Thermodynamics Ahmad Khalil, Nursyazwani Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil |
| description |
Nowadays, there are so many prostate cancers among American men and is the second leading cause of deaths from cancer. Prostate cell segmentation is a process of identifying abnormal cell based on texture. This prototype is developed specially to segment abnormal cell from normal cell. It is hard to differentiate between the normal cell and abnormal cell because there are located close to each other. Both cells and neighboring cells have almost exactly similar intensities, thus making it hard to distinguish. To solve the problem, entropy filtering method is used to segment this prototype and using thresholding technique with morphological enhancement to extract the abnormal cell. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Ahmad Khalil, Nursyazwani |
| author_facet |
Ahmad Khalil, Nursyazwani |
| author_sort |
Ahmad Khalil, Nursyazwani |
| title |
Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil |
| title_short |
Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil |
| title_full |
Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil |
| title_fullStr |
Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil |
| title_full_unstemmed |
Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil |
| title_sort |
texture segmentation using entropy filtering / nursyazwani ahmad khalil |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Computer and Mathematical Sciences |
| publishDate |
2012 |
| url |
https://ir.uitm.edu.my/id/eprint/87113/1/87113.pdf |
| _version_ |
1794192111528050688 |