Multi-spectral image analysis and classification of melanoma using fuzzy membership based partitions

Document Type

Article

Publication Date

6-1-2005

Abstract

The sensitivity and specificity of melanoma diagnosis can be improved by adding the lesion depth and structure information obtained from the multi-spectral, trans-illumination images to the surface characteristic information obtained from the epi-illumination images. Wavelet transform based bi-modal channel energy features obtained from the images are used in the analysis. Methods using both crisp and fuzzy membership based partitioning of the feature space are evaluated. For this purpose, the ADWAT classification method that uses crisp partitioning is extended to handle multi-spectral image data. Also, multi-dimensional fuzzy membership functions with Gaussian and Bell profiles are proposed for classification. Results show that the fuzzy membership functions with Bell profile are more effective than the extended ADWAT method in discriminating melanoma from dysplastic nevus. © 2005 Elsevier Ltd. All rights reserved.

Identifier

18844452915 (Scopus)

Publication Title

Computerized Medical Imaging and Graphics

External Full Text Location

https://doi.org/10.1016/j.compmedimag.2004.11.001

ISSN

08956111

PubMed ID

15890256

First Page

287

Last Page

296

Issue

4

Volume

29

This document is currently not available here.

Share

COinS