A simple hair removal algorithm from dermoscopic images

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Abstract

The main goal of our work is initial preprocessing of dermoscopic images by hair removal. Dermoscopy is a basic technique in skin melanoma diagnostics. One of the main problems in dermoscopy images analysis are hairs objects in the image. Hairs partially shade the main region of interest that’s why it needs special treatment. We have developed a simple and fast hair removal algorithm based on basic image processing algorithms. The algorithm was tested on available online test database PH2 [8]. Primary results of proposed algorithm show that even if hair contamination in the image is significant algorithm can find those objects. There is still a place for improvements as long as some air bubbles are marked as a region of interest.

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Borys, D., Kowalska, P., Frackiewicz, M., & Ostrowski, Z. (2015). A simple hair removal algorithm from dermoscopic images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9043, pp. 262–273). Springer Verlag. https://doi.org/10.1007/978-3-319-16483-0_27

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