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Use of the sup norm for image segmentation through Mean Shift filtering

Didier Domínguez, Roberto Rodríguez


A comparison between two algorithms for image segmentation through the mean shift is presented. These algorithms recursively apply the mean shift filtering by using the l-2 and sup norms in order to define pixel neighborhoods. In this work, through extensive experimentation using standard images, more homogeneous images, by using the sup norm, were obtained.


Image segmentation, mean shift, algorithm, entropy, norm.

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