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Fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images

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Main Authors: Nor Hazlyna, Harun, Juhaida, Abu Bakar, Hamirulaini’, Hambali, Nurnadia, Mohd Khair, Mohd. Yusoff, Mashor, Roseline, Hassan
Other Authors: hazlyna@uum.edu.my *
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2020
Subjects:
Acute leukemia
Median filter
Seeded region growing area
Extraction
Modified dark contrast enhancement
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68597
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spelling my.unimap-685972020-11-03T01:33:17Z Fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images Nor Hazlyna, Harun Juhaida, Abu Bakar Hamirulaini’, Hambali Nurnadia, Mohd Khair Mohd. Yusoff, Mashor Roseline, Hassan hazlyna@uum.edu.my * juhaida.ab@uum.edu.my hamirul@uum.edu.my uwais1973@yahoo.com.my yusoff@unimap.edu.my roslin@usm.my Acute leukemia Median filter Seeded region growing area Extraction Modified dark contrast enhancement Link to publisher's homepage at http://ijain.org/ Segmentation is the major area of interest in the field of image processing stage. In an automatic diagnosis of acute leukemia disease, the crucial process is to achieve the accurate segmentation of acute leukemia blood image. Generally, there are three requirements of image segmentation for medical purposes, namely; accuracy, robustness and effectiveness which have received considerable critical attention. As such, we propose a new (modified) dark contrast enhancement technique to enhance and automatically segment the acute leukemic cells. Subsequently, we used a fusion 7 × 7 median filter as well as the seeded region growing area extraction (SRGAE) algorithm to minimise the salt-and-pepper noise, apart from preserving the post-segmentation edge. As per the outcomes, the accuracy, sensitivity, and specificity of this method were 91.02%, 83.68%, and 91.57% respectively. 2020-11-03T01:33:16Z 2020-11-03T01:33:16Z 2018-11 Article International Journal of Advances in Intelligent Informatics, vol.4(3), 2018, pages 202-211 2442-6571 (print) 2548-3161 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68597 https://doi.org/10.26555/ijain.v4i3.276 en Universitas Ahmad Dahlan
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 Acute leukemia
Median filter
Seeded region growing area
Extraction
Modified dark contrast enhancement
spellingShingle Acute leukemia
Median filter
Seeded region growing area
Extraction
Modified dark contrast enhancement
Nor Hazlyna, Harun
Juhaida, Abu Bakar
Hamirulaini’, Hambali
Nurnadia, Mohd Khair
Mohd. Yusoff, Mashor
Roseline, Hassan
Fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images
description Link to publisher's homepage at http://ijain.org/
author2 hazlyna@uum.edu.my *
author_facet hazlyna@uum.edu.my *
Nor Hazlyna, Harun
Juhaida, Abu Bakar
Hamirulaini’, Hambali
Nurnadia, Mohd Khair
Mohd. Yusoff, Mashor
Roseline, Hassan
format Article
author Nor Hazlyna, Harun
Juhaida, Abu Bakar
Hamirulaini’, Hambali
Nurnadia, Mohd Khair
Mohd. Yusoff, Mashor
Roseline, Hassan
author_sort Nor Hazlyna, Harun
title Fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images
title_short Fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images
title_full Fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images
title_fullStr Fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images
title_full_unstemmed Fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images
title_sort fusion noise-removal technique with modified dark-contrast algorithm for robust segmentation of acute leukemia cell images
publisher Universitas Ahmad Dahlan
publishDate 2020
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68597
_version_ 1698698476555075584
score 13.214268

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