  An automated method to detect and analyze the melanoma is presented to
improve diagnosis which will leads to the exact treatment. Image processing
techniques such as segmentation, feature descriptors and classification models
are involved in this method. In the First phase the lesion region is segmented
using CIELAB Color space Based Segmentation. Then feature descriptors such as
shape, color and texture are extracted. Finally, in the third phase lesion
region is classified as melanoma, seborrheic keratosis or nevus using multi
class O-A SVM model. Experiment with ISIC 2017 Archive skin image database has
been done and analyzed the results.
