Improving dermoscopy image analysis using color constancy

Several methods have been proposed to detect melanomas in dermoscopy images. However, most of these methods are tuned to specific acquisition conditions. That is, their performance is affected when the acquisition setup changes or when data comes from multiple sources. This is what happens with EDRA database that contains images acquired in three different hospitals. In this paper, we discuss the use of color compensation techniques that try to reduce the influence of the acquisition setup on the color features extracted from the images. We show that color compensation provides a significant improvement on the performance of two different systems.

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