Multilevel Thresholding for segmentation of pigmented skin lesions

For automatic detection of skin lesion, segmentation has always been a primary issue. Many techniques for segmentation and border detection of skin lesion have been discussed in literature. In this paper, we have proposed a multilevel thresholding algorithm which is primarily based on Otsu’s metho...

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Main Authors:	Humayun, Jawad, Malik, Aamir Saeed, Kamel , Nidal
Format:	Conference or Workshop Item
Published:	2011
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utp.edu.my/5730/1/2011_IST-Jawad.pdf http://eprints.utp.edu.my/5730/
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Institution:	Universiti Teknologi Petronas

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spelling	my.utp.eprints.57302017-01-19T08:22:47Z Multilevel Thresholding for segmentation of pigmented skin lesions Humayun, Jawad Malik, Aamir Saeed Kamel , Nidal TK Electrical engineering. Electronics Nuclear engineering For automatic detection of skin lesion, segmentation has always been a primary issue. Many techniques for segmentation and border detection of skin lesion have been discussed in literature. In this paper, we have proposed a multilevel thresholding algorithm which is primarily based on Otsu’s method to find between class variance of image histogram. Our algorithm is able to divide image into multiple classes based on intensity level with optimized selection of threshold values. Our proposed approach has shown quite reasonable results and is computationally fast and easy. 2011-05 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/5730/1/2011_IST-Jawad.pdf Humayun, Jawad and Malik, Aamir Saeed and Kamel , Nidal (2011) Multilevel Thresholding for segmentation of pigmented skin lesions. In: IEEE International Conference on Imaging Systems and Techniques, 17-18 May, 2011, Penang. http://eprints.utp.edu.my/5730/
institution	Universiti Teknologi Petronas
building	UTP Resource Centre
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Petronas
content_source	UTP Institutional Repository
url_provider	http://eprints.utp.edu.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Humayun, Jawad Malik, Aamir Saeed Kamel , Nidal Multilevel Thresholding for segmentation of pigmented skin lesions
description	For automatic detection of skin lesion, segmentation has always been a primary issue. Many techniques for segmentation and border detection of skin lesion have been discussed in literature. In this paper, we have proposed a multilevel thresholding algorithm which is primarily based on Otsu’s method to find between class variance of image histogram. Our algorithm is able to divide image into multiple classes based on intensity level with optimized selection of threshold values. Our proposed approach has shown quite reasonable results and is computationally fast and easy.
format	Conference or Workshop Item
author	Humayun, Jawad Malik, Aamir Saeed Kamel , Nidal
author_facet	Humayun, Jawad Malik, Aamir Saeed Kamel , Nidal
author_sort	Humayun, Jawad
title	Multilevel Thresholding for segmentation of pigmented skin lesions
title_short	Multilevel Thresholding for segmentation of pigmented skin lesions
title_full	Multilevel Thresholding for segmentation of pigmented skin lesions
title_fullStr	Multilevel Thresholding for segmentation of pigmented skin lesions
title_full_unstemmed	Multilevel Thresholding for segmentation of pigmented skin lesions
title_sort	multilevel thresholding for segmentation of pigmented skin lesions
publishDate	2011
url	http://eprints.utp.edu.my/5730/1/2011_IST-Jawad.pdf http://eprints.utp.edu.my/5730/
_version_	1738655425808564224

Multilevel Thresholding for segmentation of pigmented skin lesions

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