| Paper: | IMDSP-L5.6 | ||
| Session: | Image Segmentation | ||
| Time: | Wednesday, May 17, 15:40 - 16:00 | ||
| Presentation: | Lecture | ||
| Topic: | Image and Multidimensional Signal Processing: Image Segmentation | ||
| Title: | Mean Shift Spectral Clustering for Perceptual Image Segmentation | ||
| Authors: | Umut Ozertem, Deniz Erdogmus, Tian Lan, Oregon Health & Science University, United States | ||
| Abstract: | 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. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012