Normalized Cuts and Image Segmentation

@article{citeulike:409420, abstract = {We propose a novel approach for solving the perceptual grouping problem in vision. Rather than focusing on local features and their consistencies in the image data, our approach aims at extracting the global impression of an image. We treat image segmentation as a graph partitioning problem and propose a novel global criterion, the normalized cut, for segmenting the graph. The normalized cut criterion measures both the total dissimilarity between the different groups as well as the total...}, author = {Shi, Jianbo and Malik, Jitendra }, citeulike-article-id = {409420}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, keywords = {image-processing, preprocessing, segmentation}, number = {8}, pages = {888--905}, posted-at = {2007-10-04 11:41:48}, priority = {1}, title = {Normalized Cuts and Image Segmentation}, url = {http://citeseer.ist.psu.edu/shi97normalized.html}, volume = {22}, year = {2000} }

TY - JOUR ID - citeulike:409420 L3 - citeulike-article-id:409420 TI - Normalized Cuts and Image Segmentation JF - IEEE Transactions on Pattern Analysis and Machine Intelligence VL - 22 IS - 8 SP - 888 EP - 905 N2 - We propose a novel approach for solving the perceptual grouping problem in vision. Rather than focusing on local features and their consistencies in the image data, our approach aims at extracting the global impression of an image. We treat image segmentation as a graph partitioning problem and propose a novel global criterion, the normalized cut, for segmenting the graph. The normalized cut criterion measures both the total dissimilarity between the different groups as well as the total... KW - image-processing KW - preprocessing KW - segmentation AU - Shi, Jianbo AU - Malik, Jitendra PY - 2000/// UR - http://citeseer.ist.psu.edu/shi97normalized.html ER -