Texture-region coding based on Boolean random sets

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

Producción científica: Conference contribution

Resumen

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.

Idioma originalEnglish (US)
Título de la publicación alojadaProceedings of SPIE - The International Society for Optical Engineering
EditoresDavid P. Casasent
Páginas74-79
Número de páginas6
EstadoPublished - 1995
Publicado de forma externa
EventoIntelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling - Philadelphia, PA, USA
Duración: oct 23 1995oct 26 1995

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen2588
ISSN (versión impresa)0277-786X

Other

OtherIntelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling
CiudadPhiladelphia, PA, USA
Período10/23/9510/26/95

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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