Contour and Texture Analysis for Image Segmentation

Title: Contour and Texture Analysis for Image Segmentation
Author: JITENDRA MALIK, SERGE BELONGIE, THOMAS LEUNG∗AND JIANBO SHI†
Publisher: IJCV
Date of Publication: Feb 23, 2001

Because texture provides a good local descriptor of image patches, this paper proposes a general algorithm for image segmentation by using texture. They apply different filters to the input images and get the filter responses which can be combined into response vectors, which is called texton. Each pixel is mapped into exactly one texton, and using K-means to cluster the corresponding pixels. A descriptor also considers the orientation and scale and construct the windowed texton histogram in a local region. Finally, exploiting the cues of contour and texture differences to succeed in image segmentation.