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Quality analysis of dermatoscopic images thresholding with malignant melanoma
Author(s): Magdalena Michalska; Oleksandra Hotra
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Paper Abstract

Malignant melanoma is one of the fastest-spreading skin cancer. The aim of the article is to segment human skin lesions with malignant melanoma from clinical dermatoscopic images and quality analysis images after segmentation. In this work the segmentation by thresholding with tree different threshold values was used. The quality analysis of the created binary images was carried out in Matlab software, based on statistics generated after image segmentation. The created segmentation algorithm allows the analysis of a single skin lesion, shows three areas of skin lesions based on their color.

Paper Details

Date Published: 6 November 2019
PDF: 7 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111762L (6 November 2019); doi: 10.1117/12.2536671
Show Author Affiliations
Magdalena Michalska, Lublin Univ. of Technology (Poland)
Oleksandra Hotra, Lublin Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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