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Multilevel Thresholding for segmentation of pigmented skin lesions

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.

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Abstract

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.

Item Type:Conference or Workshop Item (Poster)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Research Institutes > Institute for Health Analytics
ID Code:5730
Deposited By: Dr Aamir Saeed Malik
Deposited On:12 Jun 2011 05:08
Last Modified:19 Jan 2017 08:22

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