Call For Paper Volume:4 Issue:10 Oct'2017 |

Skin Lesion Detection Using Anisotropic Mean Shift Based Clustering Algorithm

Publication Date : 10/07/2015

Author(s) :

Priyanka V Jadhwar , Prof. Jayanand P Gawande.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

This paper presents an application of fuzzy c-means(FCM) clustering algorithm for skin segmentation. An anisotropic mean shift based FCM algorithm is used by estimating the local gradient of similar pixels iteratively. The estimated local gradient are used to temporal coherence which reject the irregular shapes and noise in skin lesion image. The Mahalonabise distance is used as a threshold for segmentation. Dermoscopic images show that this method accurately and efficiently detects the borders and area of skin lesions.

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