Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings

International Conference on Computer and Computer Intelligence (ICCCI 2011)

By
Yi Xie
Yi Xie
Search for other works by this author on:
ISBN:
9780791859926
No. of Pages:
740
Publisher:
ASME Press
Publication date:
2011

A novel automated Fuzzy Optimal Thresholding Technique to differentiate malignant melanoma lesions from the normal skin is proposed in this paper. Segmentation of pigmented skin lesion images pertaining to malignant melanoma diagnosis is achieved with the help of fuzzy Optimal Threshold value and Mathematical morphology. The input melanoma skin lesion color images are acquired and preprocessed to remove noise as well as some unwanted structures like hairs, etc. The preprocessed image is smoothened by morphological operations, converted into a gray scale image and binarized by using Fuzzy Optimal Threshold value obtained by Fuzzy Gaussian Measures. The largest label region, a...

Abstract
Keywords
1. Introduction
2. Literature Survey
3. Methodology
4. Experimental Analysis and Result
5. Conclusion
References
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal