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Paper detail

Stopping Criterion for the Mean Shift Iterative Algorithm

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.

preprint2013arXivOpen access
Yasel Garcés SuárezEsley TorresOsvaldo PereiraClaudia PérezRoberto Rogríguez
Computer Visionmath.RA
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Open access5 authors2 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Yasel Garcés SuárezEsley TorresOsvaldo PereiraClaudia PérezRoberto Rogríguez

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