Paper
23 September 2014 An algorithm for the characterization of digital images of pigmented lesions of human skin
Laura Y. Mera-González, José A. Delgado-Atencio, Juan C. Valdiviezo-Navarro, Margarita Cunill-Rodríguez
Author Affiliations +
Abstract
Melanoma is the most deadly form of skin cancer in human in all over the world with an increase number of victims yearly. One traditional form of diagnosis melanoma is by using the so called ABCDE rule which stands for Asymmetry, Border, Color, Diameter and Evolution of the lesion. For melanoma lesions, the color as a descriptor exhibits heterogeneous values, ranging from light brown to dark brown (sometimes blue reddish or even white). Therefore, investigating on color features from digital melanoma images could provide insights for developing automated algorithms for melanoma discrimination from common nevus. In this research work, an algorithm is proposed and tested to characterize the color in a pigmented lesion. The developed algorithm measures the hue of different sites in the same pigmented area from a digital image using the HSI color space. The algorithm was applied to 40 digital images of unequivocal melanomas and 40 images of common nevus, which were taken from several data bases. Preliminary results indicate that visible color changes of melanoma sites are well accounted by the proposed algorithm. Other factors, such as quality of images and the influence of the shiny areas on the results obtained with the proposed algorithm are discussed.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Laura Y. Mera-González, José A. Delgado-Atencio, Juan C. Valdiviezo-Navarro, and Margarita Cunill-Rodríguez "An algorithm for the characterization of digital images of pigmented lesions of human skin", Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 921718 (23 September 2014); https://doi.org/10.1117/12.2062425
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Cited by 2 scholarly publications.
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KEYWORDS
Melanoma

Image segmentation

Skin

Image processing

Algorithm development

Image processing algorithms and systems

Skin cancer

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