Paper
3 October 1995 Texture-region coding based on Boolean random sets
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edward R. Dougherty, John C. Handley, and Yidong Chen "Texture-region coding based on Boolean random sets", Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); https://doi.org/10.1117/12.222728
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KEYWORDS
Statistical analysis

Statistical modeling

Image segmentation

Image processing

Image classification

Image compression

Binary data

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