Grayscale and color textures can have spectral informative content. This spectral information coexists with the grayscale or\r\nchromatic spatial pattern that characterizes the texture. This informative and nontextural spectral content can be a source of\r\nconfusion for rigorous evaluations of the intrinsic textural performance of texture methods. In this paper, we used basic image\r\nprocessing tools to develop a new class of textures in which texture information is the only source of discrimination. Spectral\r\ninformation in this new class of textures contributes only to form texture. The textures are grouped into two databases. The first\r\nis the Normalized Brodatz Texture database (NBT) which is a collection of grayscale images. The second is the Multiband Texture\r\n(MBT) database which is a collection of color texture images. Thus, this new class of textures is ideal for rigorous comparisons\r\nbetween texture analysis methods based only on their intrinsic performance on texture characterization
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