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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Stopping Criterion for the Mean Shift Iterative Algorithm
verfasst von : Yasel Garcés Suárez, Esley Torres, Osvaldo Pereira, Claudia Pérez, Roberto Rogríguez
Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Verlag: Springer Berlin Heidelberg
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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 ℤ
n
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.