In this paper, some applications of a local version of Singular
Value Decomposition (SVD) to texture classification and texture
segmentation are studied. We introduce two measures, obtained from
SVD transform, which capture some of the perceptual and conceptual
features in an image. One of the measures classifies the textures
by their roughness and structures. Experimental results show that
these measures are suitable for texture clustering and image
segmentation and they are robust relative to changes in lighting.