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Proceedings Paper

Image segmentation based on an adaptive 3D analysis of the CIE-L*a*b* color space
Author(s): Wolfgang Woelker
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Paper 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*.

Paper Details

Date Published: 27 February 1996
PDF: 7 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233192
Show Author Affiliations
Wolfgang Woelker, Univ. Hannover (Germany)

Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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