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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Main Author: Ahmad Khalil, Nursyazwani
Format: Thesis
Language:en
Published: 2012
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/87113/1/87113.pdf
https://ir.uitm.edu.my/id/eprint/87113/
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author Ahmad Khalil, Nursyazwani
author_facet Ahmad Khalil, Nursyazwani
author_sort Ahmad Khalil, Nursyazwani
building Tun Abdul Razak Library
collection Institutional Repository
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
continent Asia
country Malaysia
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
id my.uitm.ir-87113
institution Universiti Teknologi Mara
language en
publishDate 2012
record_format eprints
spelling my.uitm.ir-871132024-02-02T01:18:04Z https://ir.uitm.edu.my/id/eprint/87113/ Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/87113/1/87113.pdf Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil. (2012) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
spellingShingle Thermodynamics
Research. Experimentation
Ahmad Khalil, Nursyazwani
Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil
title 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_short Texture segmentation using entropy filtering / Nursyazwani Ahmad Khalil
title_sort texture segmentation using entropy filtering / nursyazwani ahmad khalil
topic Thermodynamics
Research. Experimentation
url https://ir.uitm.edu.my/id/eprint/87113/1/87113.pdf
https://ir.uitm.edu.my/id/eprint/87113/
url_provider http://ir.uitm.edu.my/