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27 February 1996 Image segmentation based on an adaptive 3D analysis of the CIE-L*a*b* color space
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Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233192
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
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*.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wolfgang Woelker "Image segmentation based on an adaptive 3D analysis of the CIE-L*a*b* color space", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233192
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