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Image segmentation by spatio-colorimetric classification. (Segmentation d’images par classification spatio-colorimétrique des pixels.) (French) Zbl 1087.94509

Summary: We present a new color image segmentation scheme which constructs regions by unsupervised pixel classification, even when there is not a one-to-one correspondence between the clusters of color points in the color space and the regions in the image. When the color points of different regions in the image give rise to one single cluster in the color space, the proposed scheme splits this cluster into sub-populations of color-points defined by color-domains. The scheme analyses the connectedness and color homogeneity properties of color-subsets of pixels defined by these color-domains in order to construct the classes which correspond effectively to the regions in the image. For selecting efficient color-domains, we have proposed a new measure, the compacity degree, which evaluates the likelihood of the event “the color-subset defined by the examined color-domain corresponds to one region in the image”.

MSC:

94A08 Image processing (compression, reconstruction, etc.) in information and communication theory
68U10 Computing methodologies for image processing
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