Tree-structured wavelet transform signature for classification of melanoma

Sachin V. Patwardhan; Atam P. Dhawan; Patricia A. Relue

doi:10.1117/12.467065

9 May 2002 Tree-structured wavelet transform signature for classification of melanoma

Sachin V. Patwardhan, Atam P. Dhawan, Patricia A. Relue

Proceedings Volume 4684, Medical Imaging 2002: Image Processing; (2002) https://doi.org/10.1117/12.467065
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

The purpose of this work is to evaluate the use of a wavelet transform based tree structure in classifying skin lesion images in to melanoma and dysplastic nevus 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 in to 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.

Citation Download Citation

Sachin V. Patwardhan, Atam P. Dhawan, and Patricia A. Relue "Tree-structured wavelet transform signature for classification of melanoma", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467065

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