Adaptive multiparameter openings

Yidong Chen, Edward R. Dougherty

Producción científica: Conference contribution

Resumen

Adaptation of an opening possessing a multiparameter structuring element is studied in the context of Markov chains by treating the multiple parameters as a vector r defining the state of the system and considering the operative filter Λ r to be opening by reconstruction. Adaptation of Λ r (transition of r) is in accordance to whether or not Λ r correctly or incorrectly passes signal and noise grains sampled from the image. Signal and noise are modeled as unions of randomly parameterized and randomly translated primary grains. Transition probabilities are discussed for two adaptation protocols and the state-probability increment equations are deduced from the appropriate Chapman-Kolmogorov equations. Adaptation convergence is characterized by the steady-state distributions of the Markov chains and these are computed numerically.

Idioma originalEnglish (US)
Título de la publicación alojadaProceedings of SPIE - The International Society for Optical Engineering
EditoresEdward R. Dougherty, Jaakko T. Astola, Harold G. Longbotham, Nasser M. Nasrabadi, Aggelos K. Katsaggelos
Páginas37-47
Número de páginas11
EstadoPublished - 1995
Publicado de forma externa
EventoNonlinear Image Processing VI - San Jose, CA, USA
Duración: feb 6 1995feb 9 1995

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen2424
ISSN (versión impresa)0277-786X

Other

OtherNonlinear Image Processing VI
CiudadSan Jose, CA, USA
Período2/6/952/9/95

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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