Classifying Skin Moles Using Image Processing Algorithms

Authors

  • Adriana Stratulat-Diaconu Department of Computer and Information Technology, The University “Dunărea de Jos” of Galati, Romania

DOI:

https://doi.org/10.35219/eeaci.2019.1.02

Keywords:

image processing, mathematical morphology, binary threshold

Abstract

Image processing is an essential field applied in a lot of applications, as medical imaging, astronomy, video, image compression and transmission, and so on. In this paper was proceeded grayscale image converted from RGB (red, green, blue) system. Mathematical morphology in image processing is applied on binary images so that is very important to chosen the adequate binary threshold.  Both, mean and standard deviation can determine the optimum binary threshold. The mathematical morphology and optimum binary threshold can be used with success in order to study skin lesion.

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Published

2019-09-10

Issue

Section

Articles

How to Cite

1.
Classifying Skin Moles Using Image Processing Algorithms. EEAI [Internet]. 2019 Sep. 10 [cited 2026 Nov. 2];42(1):10-4. Available from: https://ojs.ugal.ro/index.php/eeaci/article/view/1798

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