Scale-Space Approach for Color Image Segmentation

Abstract : This paper presents a new method for color image segmentation based on a scale-space clustering of the image pixels. Unlike standard image scale-spaces, which smooth the images, this approach consider an augmented space which combines spatial and color dimensions. The clustering relies on the mean-shift algorithm to find the modes of the position and color distribution of the pixels. In order to produce a non-hierarchical segmentation, we also present a method to prune the computed hierarchy by suppressing nodes that are not stable enough.
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Contributor : Rémi Megret <>
Submitted on : Friday, September 14, 2007 - 10:23:22 AM
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  • HAL Id : hal-00172090, version 1


Rémi Mégret. Scale-Space Approach for Color Image Segmentation. 8th Cost 276 workshop, May 2005, Trondheim, Norway. ⟨hal-00172090⟩



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