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HSV Color Texture Classification Method by asdfasd is a document available to read on EtoBox.

This document summarizes a research paper that proposes a method for classifying color texture images using the HSV color space, wavelet transform, and motif patterns. Key features are extracted from the horizontal, vertical, and diagonal sub-bands of images after transforming them using wavelet analysis in HSV color space. A support vector machine is then used to learn and classify the texture classes based on the extracted features. The proposed method is found to perform better than recent RGB-based colo

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asdfasd

Language

EN