Stopping Criterion for the Mean Shift Iterative Algorithm

Autor:	Suárez, Yasel Garcés, Torres, Esley, Pereira, Osvaldo, Pérez, Claudia, Rogríguez, Roberto
Rok vydání:	2013
Předmět:	Computer Science - Computer Vision and Pattern Recognition Mathematics - Rings and Algebras
Druh dokumentu:	Working Paper
Popis:	Image segmentation is a critical step in computer vision tasks constituting an essential issue for pattern recognition and visual interpretation. In this paper, we propose a new stopping criterion for the mean shift iterative algorithm by using images defined in Zn ring, with the goal of reaching a better segmentation. We carried out also a study on the weak and strong of equivalence classes between two images. An analysis on the convergence with this new stopping criterion is carried out too. Comment: Have 8 pages. Is the first version of the more general paper
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1306.2624 Zobrazit plný text záznamu View this record from Arxiv