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Skin Disease Classification by Extracting Independent Components

Identifier --drsarivazh-567
Penulis / PengarangDr. S.Arivazhagan, Mrs. R.Newlin Shebiah, Ms. K.Divya, Ms. M.P.Subadevi
Kata Kunci Skin disease texture run-length features Minimum Distance Classifier
Tanggal Publikasi10 Okt 2010
BahasaBahasa Indonesia
Abstrak / Deskripsi This paper proposes an automated system based on texture analysis for recognizing human skin diseases. The spatial distributions of melanin and hemoglobin in human skin are separated by independent component analysis of skin color image. The texture features were derived from Gray Level Run Length Matrices. Minimum Distance Classifier is used to classify the type of human skin diseases. About 350 images from DERMNET database are used for evaluation and the recognition rate is found to be satisfactory.

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