Mean Shift Spectral Clustering for Perceptual Image Segmentation
Umut Özertem, Deniz Erdoğmuş, Tian Lan · 2006
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