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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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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
score 13.211869

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