02150nas a2200241   4500000000100000000000100001008004100002260001200043653001000055653001500065653001300080653001900093653002300112100002500135700002500160700002700185245012600212856009900338300001000437490000600447520144100453022001401894       2020                            d  c03/202010aFuzzy10aClustering10aMelanoma10aMedical Images10aImage Segmentation1 aSalam Shuleenda Devi1 aRabul Hussain Laskar1 aNgangbam Herojit Singh00aFuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images  uhttps://www.ijimai.org/journal/sites/default/files/files/2020/01/ijimai20206_1_3_pdf_17885.pdf  a26-310 v63 aPurpose – Pre-screening of skin lesion for malignancy is highly demanded as melanoma being a life-threatening skin cancer due to unpaired DNA damage. In this paper, lesion segmentation based on Fuzzy C-Means clustering using non-dermoscopic images has been proposed.
Design/methodology/approach – The proposed methodology consists of automatic cluster selection for FCM using the histogram property. The system used the local maxima along with Euclidean distance to detect the binomial distribution property of the image histogram, to segment the melanoma from normal skin. As the Value channel of HSV color image provides better and distinct histogram distribution based on the entropy, it has been used for segmentation purpose.
Findings – The proposed system can effectively segment the lesion region from the normal skin. The system provides a segmentation accuracy of 95.69 % and the comparative analysis has been performed with various segmentation methods. From the analysis, it has been observed that the proposed system can effectively segment the lesion region from normal skin automatically.
Originality/Value – This paper suggests a new approach for skin lesion segmentation based on FCM with automatic cluster selection. Here, different color channel has also been analyzed using entropy to select the better channel for segmentation. In future, the classification of melanoma from benign naevi can be performed.  a1989-1660