Research ArticleOpen AccessGoogle Scholar indexed
An Intelligent Algorithm for Skin Cancer Detection
UCI Division of Continuing Education, University of California Irvine, Irvine, CA, USA
School of Engineering, California State Polytechnic University, Panoma, CA, USA
School of Business, Khatam University, Tehran, Iran
- 1 UCI Division of Continuing Education, University of California Irvine, Irvine, CA, USA
- 2 School of Engineering, California State Polytechnic University, Panoma, CA, USA
- 3 School of Business, Khatam University, Tehran, Iran
Intelligent Control and Automation·Volume 11 (2019)·Pages 25–31·Published 20 December 2019·DOI10.4236/ica.2020.111003
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Abstract
Nowadays, computer vision as an interdisciplinary field is growing in different areas such as medical, electronics, etc. In the field, detection and particularly image segmentation is an essential task in which is difficult to find the appropriate one based on the application. In this paper, a new algorithm is proposed to segment the lesion from background. The algorithm is based on log edge detector with iterative median filtering. We have tested our algorithm on 20 dermoscopic images and compare the lesion detection results with those manually segmented by dermatologists. The experiments represent the effectiveness of proposed algorithm.
KeywordsSkin CancerMalignantBenignImage ProcessingLog Edge DetectorSegmentation
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