Segmentation of Irrelevant Regions using Color Thresholding Method: application in Breast Histopathology Images
Link to publisher's homepage at https://iopscience.iop.org/
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2020
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69024 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaysia Perlis |
Language: | English |
id |
my.unimap-69024 |
---|---|
record_format |
dspace |
spelling |
my.unimap-690242020-12-16T08:26:55Z Segmentation of Irrelevant Regions using Color Thresholding Method: application in Breast Histopathology Images Tan Xiao, Jian Nazahah, Mustafa Mohd Yusoff, Mashor Khairul Shakir, Ab Rahman nazahah@unimap.edu.my Segmentation Irrelevant regions Breast histopathology Link to publisher's homepage at https://iopscience.iop.org/ Segmentation of irrelevant regions in the breast histopathology image is essentially performed in preliminary or post processing stages. This study presents a color thresholding method to segment the irrelevant regions, specifically blood cells and hemorrhage in the RGB breast histopathology images. The conventional gray level global thresholding method was extended to color images by modifying the thresholding algorithm. The color thresholding method was performed by decomposing the RGB input image into coherent regions based on similarity in color feature. Area Overlap Measure (AOM) and Combined Equal Importance (CEI) are two statistical metrics used to evaluate the performance of the color thresholding method. The obtained AOM and CEI for the overall dataset in blood cells are 0.92 and 0.89, respectively. The color thresholding method is found to be effective and is able to produce plausible thresholding results in segmentation of irrelevant regions in RGB breast histopathology images. 2020-12-16T08:26:55Z 2020-12-16T08:26:55Z 2019 Article Journal of Physics: Conference Series, vol.1372, 2019, 6 pages 1742-6588 (print) 1742-6596 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69024 https://iopscience.iop.org/article/10.1088/1742-6596/1372/1/012027/pdf en International Conference on Biomedical Engineering (ICoBE); IOP Publishing |
institution |
Universiti Malaysia Perlis |
building |
UniMAP Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Perlis |
content_source |
UniMAP Library Digital Repository |
url_provider |
http://dspace.unimap.edu.my/ |
language |
English |
topic |
Segmentation Irrelevant regions Breast histopathology |
spellingShingle |
Segmentation Irrelevant regions Breast histopathology Tan Xiao, Jian Nazahah, Mustafa Mohd Yusoff, Mashor Khairul Shakir, Ab Rahman Segmentation of Irrelevant Regions using Color Thresholding Method: application in Breast Histopathology Images |
description |
Link to publisher's homepage at https://iopscience.iop.org/ |
author2 |
nazahah@unimap.edu.my |
author_facet |
nazahah@unimap.edu.my Tan Xiao, Jian Nazahah, Mustafa Mohd Yusoff, Mashor Khairul Shakir, Ab Rahman |
format |
Article |
author |
Tan Xiao, Jian Nazahah, Mustafa Mohd Yusoff, Mashor Khairul Shakir, Ab Rahman |
author_sort |
Tan Xiao, Jian |
title |
Segmentation of Irrelevant Regions using Color Thresholding Method: application in Breast Histopathology Images |
title_short |
Segmentation of Irrelevant Regions using Color Thresholding Method: application in Breast Histopathology Images |
title_full |
Segmentation of Irrelevant Regions using Color Thresholding Method: application in Breast Histopathology Images |
title_fullStr |
Segmentation of Irrelevant Regions using Color Thresholding Method: application in Breast Histopathology Images |
title_full_unstemmed |
Segmentation of Irrelevant Regions using Color Thresholding Method: application in Breast Histopathology Images |
title_sort |
segmentation of irrelevant regions using color thresholding method: application in breast histopathology images |
publisher |
IOP Publishing |
publishDate |
2020 |
url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69024 |
_version_ |
1698698545234706432 |