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arXiv · 1306.2624

Stopping Criterion for the Mean Shift Iterative Algorithm

Yasel Garcés Suárez·Esley Torres·Osvaldo Pereira·Claudia Pérez·Roberto Rogríguez
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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.

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Yasel Garcés Suárez, Esley Torres, Osvaldo Pereira, Claudia Pérez, Roberto Rogríguez. 2013-06-11. Stopping Criterion for the Mean Shift Iterative Algorithm. https://arxiv.org/abs/1306.2624

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