College
College of Computer Studies
Department/Unit
Computer Science
Document Type
Conference Proceeding
Source Title
2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)
First Page
98
Last Page
103
Publication Date
12-11-2019
Abstract
There are several pleasant and effective systems or algorithms regarding humans’ mole. All of these system pay attention to the field of health and medicine. This study focuses on physical aspect of moles in images. In this study, the researchers use digital image analysis to design an algorithm and implement a system to detect a mole in an images and then remove the mole thorough converting the color of the mole. The system contains two parts. In the first part, the system detects the mole following different steps such as grayscaling using average method, Gaussian blurring, binarization using Otsu method and contour detection. In the second part, the system performs mole removal in which system replaces the color of mole’s pixels to a color that is made by modes in different channels. The researchers tested the system regarding mole detection and mole removal separately and the results are presented in different tables. Based on the results, the accuracy of the system regarding mole detection is 90% while regarding mole removal is 85%.
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Recommended Citation
Barfeh, D., Delos Reyes, P., Delgado, J., Besoro, D., Capili, A., & Buhayan, J. (2019). Melanocytic nevus reduction algorithm using RGB channels’ modes. 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 98-103. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/15036
Disciplines
Computer Sciences
Keywords
Image processing—Digital techniques; Mole (Dermatology)
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