Dermoscopy Images Enhancement via Multi-Scale Morphological Operations.
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Show full item recordAuthor(s)
Mello Román, Julio César; Vázquez Noguera, José Luis




Date of publishing
2021Type of publication
research articleSubject(s)
SKIN DERMOSCOPY IMAGES
MULTI-SCALE MORPHOLOGICAL APPROACH
TOP-HAT RECONSTRUCTION
MELANOMA
CANCER
CONTRAST ENHANCEMENT
MULTI-SCALE MORPHOLOGICAL APPROACH
TOP-HAT RECONSTRUCTION
MELANOMA
CANCER
CONTRAST ENHANCEMENT
Abstract
Skin dermoscopy images frequently lack contrast caused by varying light conditions. Indeed, often low contrast is seen in dermoscopy images of melanoma, causing the lesion to blend in with the surrounding skin. In addition, the low contrast prevents certain details from being seen in the image. Therefore, it is necessary to design an approach that can enhance the contrast and details of dermoscopic images. In this work, we propose a multi-scale morphological approach to reduce the impacts of lack of contrast and to enhance the quality of the images. By top-hat reconstruction, the local bright and dark features are extracted from the image. The local bright features are added and the dark features are subtracted from the image. In this way, images with higher contrast and detail are obtained. The proposed approach was applied to a database of 236 color images of benign and malignant melanocytic lesions. The results show that the multi-scale morphological approach by reconstruction is a competitive algorithm since it achieved a very satisfactory level of contrast enhancement and detail enhancement in dermoscopy images.