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Global and Local Characterization of Rock Classification by Gabor and DCT Filters with a Color Texture Descriptor
2019
International Journal of Advanced Computer Science and Applications
In the automatic classification of colored natural textures, the idea of proposing methods that reflect human perception arouses the enthusiasm of researchers in the field of image processing and computer vision. Therefore, the color space and the methods of analysis of color and texture, must be discriminating to correspond to the human vision. Rock images are a typical example of natural images and their analysis is of major importance in the rock industry. In this paper, we combine the
doi:10.14569/ijacsa.2019.0100401
fatcat:2jmxu6qbfbacjgue5a275artny