Texture-region coding based on Boolean random sets

Edward R. Dougherty, John C. Handley, Yidong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsDavid P. Casasent
Pages74-79
Number of pages6
StatePublished - 1995
Externally publishedYes
EventIntelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling - Philadelphia, PA, USA
Duration: Oct 23 1995Oct 26 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2588
ISSN (Print)0277-786X

Other

OtherIntelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling
CityPhiladelphia, PA, USA
Period10/23/9510/26/95

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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