Segmentation of skin lesions based on fuzzy classification of pixels and histogram thresholding

2017/03/10 by Jose Luis Garcia-Arroyo, Garcia-Arroyo, Jose Luis, Begonya García-Zapirain +2
Agricultural and Biological Sciences · Computer Science · Mathematics · Medicine · #Advanced Scientific Research Methods #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #Dermatologic Treatments and Research #FOS: Computer and information sciences #Machine Learning (stat.ML) #Nonmelanoma Skin Cancer Studies #cs.AI #cs.CV #stat.ML

paper · pdf · doi:10.48550/arxiv.1703.03888

5 pages, 6 figures

openalex publication_date 2017/03/10 · arxiv created 2017/03/11 · arxiv updated 2017/03/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper proposes an innovative method for segmentation of skin lesions in dermoscopy images developed by the authors, based on fuzzy classification of pixels and histogram thresholding.

Related

• Segmenting Dermoscopic Images
• Accurate Segmentation of Dermoscopic Images based on Local Binary Pattern Clustering
• Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique
• Automatic skin lesion segmentation on dermoscopic images by the means of superpixel merging
• A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images