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Stopping criterion for the mean shift iterative algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2013) 8258 LNCS(PART 1) 383-390
DOI: 10.1007/978-3-642-41822-8_48
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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. © Springer-Verlag 2013.

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APA

Suárez, Y. G., Torres, E., Pereira, O., Pérez, C., & Rogríguez, R. (2013). Stopping criterion for the mean shift iterative algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8258 LNCS, pp. 383–390). https://doi.org/10.1007/978-3-642-41822-8_48

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