Image segmentation based on an adaptive 3D analysis of the CIE-L*a*b* color space

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Abstract
An algorithm for segmentation of color images based on an adaptive clustering method analyzing the three dimensional CIE-L*a*b* color space is presented. The color information of every picture element (PEL) is transferred and analyzed in a three-dimensional color- histogram. The algorithm detects clusters of similar colors and describes their position and size within the color histogram with an enclosing cuboid. Searching for cluster kernels can be done automatically or with interactively given color probes. The extension of the enclosing cube can be limited to a maximum Euclidean distance ((Delta) E) within the CIE-L*a*b*.

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