Tree structured wavelet transform signature for classification of melanoma

Document Type

Article

Publication Date

1-1-2002

Abstract

The purpose of this work is to evaluate the use of a wavelet transform based tree structure in classifying skin lesion images into melanoma and dysplastic nevus classes based on the spatial/frequency information. The classification is done using the wavelet transform tree structure analysis. Development of the tree structure in the proposed method uses energy ratio thresholds obtained from a statistical analysis of the coefficients in the wavelet domain. The method is used to obtain a tree structure signature of melanoma and dysplastic nevus, which is then used to classify the data set into the two classes. Images are classified by using a semantic comparison of the wavelet transform tree structure signatures. Results show that the proposed method is effective and simple for classification based on spatial/frequency information, which also includes the textural information. © 2002 SPIE · 0277-786X/01/$15.00.

Identifier

0036028247 (Scopus)

Publication Title

Proceedings of SPIE the International Society for Optical Engineering

External Full Text Location

https://doi.org/10.1117/12.467065

ISSN

0277786X

First Page

1085

Last Page

1091

Volume

4684 II

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