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In this paper we present a novel method to obtain regions of interest in color images. The strategy consists in the evaluation of the stability of a region according to its properties of color and spatial arrangement. We propose a fusion of the classical color image segmentation with the space scale analysis. An image can be decomposed in a set of regions that describe the whole image content. Using a set of manual labelled images we have evaluated the properties of the detector according to the human perception. The proposed region detector has a potential application in the field of the content based image retrieval by sketch.

COREST: A MEASURE OF COLOR AND SPACE STABILITY TO DETECT SALIENT REGIONS ACCORDING TO HUMAN CRITERIA