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Stopping Criterion for the Mean Shift Iterative Algorithm

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arxiv 1306.2624 v1 pith:TCWUBNUI submitted 2013-06-11 cs.CV math.RA

Stopping Criterion for the Mean Shift Iterative Algorithm

classification cs.CV math.RA
keywords criterionstoppingalgorithmcarriedimagesiterativemeansegmentation
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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