Hierarchical fractal-based segmentation of color images

Jan G. Bormans; Ivo Bolsens; Jan P.H. Cornelis; Hugo J. De Man

doi:10.1117/12.217422

22 August 1995 Hierarchical fractal-based segmentation of color images

Jan G. Bormans, Ivo Bolsens, Jan P.H. Cornelis, Hugo J. De Man

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217422
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Jan G. Bormans, Ivo Bolsens, Jan P.H. Cornelis, and Hugo J. De Man "Hierarchical fractal-based segmentation of color images", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217422

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