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DETECTION OF SKIN DIASEASE USING CURVLETS

Identifier --ypgowramma-485
Penulis / PengarangY.P.Gowramma, Pavithra.N, Manasa.S.B, Peetambari.B.P, Vimala
Kata Kunci skin disease curvelets K-nn classifier
Tanggal Publikasi08 May 2014
BahasaBahasa Indonesia
Abstrak / Deskripsi In this paper, we have proposed an algorithmic model for automatic classification of skin disease using Curvelet filter along with the k-nn classifier. The proposed algorithmic model is based on textural features such as curvelet filter responses. A skin disease is segmented using a Marker-Controlled Watershed Segmentation method. The dataset has different skin diseases with similar appearance (small inter class variations) across different classes and varying appearance (large intra class variations) within a class. Also, the images of diseases are of different pose with cluttered background.

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