Segmentation using Meta-texture Saliency

TitleSegmentation using Meta-texture Saliency
Publication TypeConference Papers
Year of Publication2007
AuthorsYacoob Y, Davis LS
Conference NameComputer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
Date Published2007/10//
Keywordsanalysis;image, colour, enhancement;image, image, image;salient, patches;image, segmentation;image, segmentation;meta-texture, surface-roughness;image, texture;

We address segmentation of an image into patches that have an underlying salient surface-roughness. Three intrinsic images are derived: reflectance, shading and meta- texture images. A constructive approach is proposed for computing a meta-texture image by preserving, equalizing and enhancing the underlying surface-roughness across color, brightness and illumination variations. We evaluate the performance on sample images and illustrate quantitatively that different patches of the same material, in an image, are normalized in their statistics despite variations in color, brightness and illumination. Finally, segmentation by line-based boundary-detection is proposed and results are provided and compared to known algorithms.