Mean Shift Spectral Clustering for Perceptual Image Segmentation

U. Ozertem, D. Erdogmus, Tian Lan
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings  
Segmentation is a fundamental problem in image processing having a wide range of applications. Image segmentation algorithms in the literature range from a cost criterion based optimization techniques to various heuristic methods. In this paper, we propose utilizing mean shift spectral clustering for perceptually better image segmentation results.
doi:10.1109/icassp.2006.1660293 dblp:conf/icassp/OzertemEL06 fatcat:f7mivdokhzabze6pn23l42hbam