Advertisement
Published in:
2014 | OriginalPaper | Chapter
A Comparative Study of Different Methods for Pigmented Lesion Classification Based on Color and Texture Features
Authors : J. A. Pérez-Carrasco, B. Acha, C. Serrano
Published in: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
This paper presents a method that classifies color dermoscopic images into their different dermatologic patterns. CSGV (composite subband gradient vector) is used to represent each pattern. CSGV is obtained from the gradient vectors generated from the different sub-images in a wavelet decomposition. Classification results are compared with those obtained applying Gabor filters and Markov Random Field (MRF). Classification is performed with a fuzzy-ARTMAP. Performance is analysed in
L*a*b*
and
RGB
color spaces.
L*a*b*
provides the best results (81,25%).There are two main contributions in this work. The first one is to combine features from already existing methods with color information, in the
RGB
or
L*a*b*
representations. The second contribution is that a large study of different features applied to the specific problem of dermoscopic pattern classification has been implemented.