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Stopping Criterion for the Mean Shift Iterative Algorithm (1306.2624v1)
Published 11 Jun 2013 in cs.CV and math.RA
Abstract: 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.