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- W2188049260 abstract "Texture Analysis has been an extremely active and fruitful area of research over the past twenty years. Today texture analysis plays an important role in many tasks ranging from remote sensing to medical image analysis.Texture classification is a trendy and catchy technology in the field of texture analysis. Texture classification is important in many applications like image database retrieval, industrial, agricultural and bio-medical applications. Texture classification is based on three different approaches, they are statistical, spectral and structural.The proposed work here is combination of both statistical and spectral approaches for classification of texture images." @default.
- W2188049260 created "2016-06-24" @default.
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- W2188049260 date "2011-01-01" @default.
- W2188049260 modified "2023-09-23" @default.
- W2188049260 title "Texture Image Classification using Multi Resolution Combined Statistical and Spatial Frequency Method" @default.
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