Hybrid morphological processor based on local histogram calculation method

Vitaly Kober, Javier Garcia, Tomasz Szoplik, Leonid P. Yaroslavsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An optical-digital processor for morphological and nonlinear rank-order image processing is presented. It performs the following functions: First, digital threshold decomposition of a gray-scale input image into a cascade of binary slices; second, optical convolution of slices with a gray-scale kernel; and third, digital elementwise arithemtic and logic operations on the cascade of convolution results. A theorem on calculating the local histograms of weighted neighborhoods of an input gray-scale image is presented. It says that the local histogram of input image results from subtraction of convolution patterns of its two subsequent binary slices with a gray-scale structuring element.

Original languageEnglish
Title of host publicationOptics as a Key to High Technology
EditorsGy. Akos, T. Lippenyi, G. Lupkovics, A. Podmaniczky
PublisherPubl by Society of Photo-Optical Instrumentation Engineers
Pages397-398
Number of pages2
Editionpt 1
ISBN (Print)0819412309
StatePublished - 1993
Externally publishedYes
EventProceedings of the 16th Congress of the International Commission for Optics - Budapest, Hung
Duration: 9 Aug 199313 Aug 1993

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberpt 1
Volume1983
ISSN (Print)0277-786X

Conference

ConferenceProceedings of the 16th Congress of the International Commission for Optics
CityBudapest, Hung
Period9/08/9313/08/93

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