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Proceedings Paper

Texture-region coding based on Boolean random sets
Author(s): Edward R. Dougherty; John C. Handley; Yidong Chen
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Paper Abstract

Region-based coding is applied to images composed of disjoint texture regions, where in each region the image is generated by a discrete random Boolean model. The image is segmented into regions by applying pixelwise granulometric classification and the region boundaries are chain encoded. Maximum-likelihood estimation based upon induced 1D Boolean models is used to estimate the parameters of the governing processes in each region. The regions are coded by these parameters. Decoding is accomplished by generating in each region a realization of the appropriate random set.

Paper Details

Date Published: 3 October 1995
PDF: 6 pages
Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); doi: 10.1117/12.222728
Show Author Affiliations
Edward R. Dougherty, Rochester Institute of Technology (United States)
John C. Handley, Rochester Institute of Technology (United States)
Yidong Chen, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2588:
Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling
David P. Casasent, Editor(s)

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