Classifying Skin Moles Using Image Processing Algorithms
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.Downloads
Download data is not yet available.
Published
2019-09-10
How to Cite
1.
Stratulat-Diaconu A. Classifying Skin Moles Using Image Processing Algorithms. The Annals of “Dunarea de Jos“ University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics [Internet]. 10Sep.2019 [cited 15Jan.2025];42(1):10-4. Available from: https://gup.ugal.ro/ugaljournals/index.php/eeaci/article/view/1798
Issue
Section
Articles
@ "Dunarea de Jos" University of Galati