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Proceedings Paper

Hierarchical fractal-based segmentation of color images
Author(s): Jan G. Bormans; Ivo Bolsens; Jan P.H. Cornelis; Hugo J. De Man
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Paper Abstract

A color image segmentation scheme for use in demanding applications is presented. A complexity reduction is performed by transforming the 3D RGB color space into a 1D length space. The constraints that are put on this transform will be enumerated, and a specific Hilbert fractal-based transform will be selected. The segmentation scheme has been designed to preserve the intrinsic multiresolution clustering properties, allowing for a fast and consistent iteration towards a given range of regions or contour pixels. VLSI implementation will be discussed.

Paper Details

Date Published: 22 August 1995
PDF: 6 pages
Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); doi: 10.1117/12.217422
Show Author Affiliations
Jan G. Bormans, Vrije Univ. Brussels (Belgium)
Ivo Bolsens, Iteruniv. Microelectronics Ctr. (Belgium)
Jan P.H. Cornelis, Vrije Univ. Brussels (Belgium)
Hugo J. De Man, Interuniv. Microelectronics Ctr. (Belgium)

Published in SPIE Proceedings Vol. 2564:
Applications of Digital Image Processing XVIII
Andrew G. Tescher, Editor(s)

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