• Prabhat Kumar Tripathi
• Prof. Abhinav Bhargava

Image segmentation is a key step in the automated skin lesion diagnosis. A skin lesion is an abnormal lump, bump, and ulcer, sore or colored area on the skin. There are many types of skin segmentation. In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Segmentation has importance to detect skin lesion from images. Different method for segmentation of dermoscopic images of skin cancer and other pigmented lesions is presented. This paper proposed, 3 level C-Means Clustering approach for skin lesion image segmentation so that detection and recognition of skin decease will easy to understand by patient and biomedical industries.

FCM, Skin, Lesion, Segmentation, Fuzzy.

"Skin Lesion Image Segmentation based on 3-Level Fuzzy C-Means Cluster Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.106-111, February-2020, Available :http://www.jetir.org/papers/JETIR2002216.pdf

"Skin Lesion Image Segmentation based on 3-Level Fuzzy C-Means Cluster Algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp106-111, February-2020, Available at : http://www.jetir.org/papers/JETIR2002216.pdf