Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 22, Pages: 1-6
J. Premaladha1* , M. Lakshmi Priya2 , S. Sujitha2 and K. S. Ravichandran1
1 School of Computing, Sastra University, Thanjavur- 613401, Tamil Nadu, India; [email protected], [email protected]
2 Department of ICT, School of Computing, Sastra University, Thanjavur – 613401, Tamil Nadu, India; [email protected], [email protected]
Image segmentation is an important process in Melanoma diagnosis. It divides the image into segments which provides a better path for extracting features and classifying them accordingly and so far many literatures have explained how the segmentation has been carried out for gray scale images. Though most algorithms have been written for gray scale images it is not necessary that we must stick on only to that instead we can also use color images directly for segmentation process. On doing so, variation in color can be used as an important feature for melanoma diagnosis. Color is a unique feature which can be used to provide a distinct differentiation between Melanoma and Benign. Hence on applying this color image segmentation, earlier detection can be done easily. This literature presents a survey on existing techniques for color image segmentation. Color images when segmented directly, yields better differentiation between the lesions.
Keywords: Benign, Color Image Segmentation, Gray Scale Images, Melanoma, Segmentation
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