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Melanoma is the direst form of skin cancer. Early detection of cancer is a very critical issue in today's dematologic practice. Feature extraction allows representing the content of the image as perfectly as possible. In this paper, Bag of Features based Supervised Spatial Encoding of Feature extraction is proposed. Low Level Images and their Latent Features induce codebook of features. Scale invariant Speeded up Robust Features (SURF) technique is used for feature point detection in Low Leveldoi:10.21817/ijet/2017/v9i6/170906115 fatcat:3rmbtgw5yvbczl3xg2gg3u63w4