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.
@article{arxiv.1306.2624,
title = {Stopping Criterion for the Mean Shift Iterative Algorithm},
author = {Yasel Garcés Suárez and Esley Torres and Osvaldo Pereira and Claudia Pérez and Roberto Rogríguez},
journal= {arXiv preprint arXiv:1306.2624},
year = {2013}
}
Comments
Have 8 pages. Is the first version of the more general paper