Multigrid MRF based picture segmentation with cellular neural networks

Lázló Czúni, T. Szirányi, Josiane Zerubia

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

4 Citations (Scopus)

Abstract

Due to the large computation power needed in image processing methods based on Markovian Random Field (MRF) [6], new variations of basic MRF models are implemented. The Cellular Neural Network [5,14,15] (CNN) architecture, implemented in real VLSI circuits, is of superior speed in image processing. This very fast CNN can implement the ideas of existing MRF models. which would result in real-time processing of images. On the other hand this VLSI solution gives new tasks since the CNN has a special local architecture [4], but it is already shown that a type of MRF image segmentation with Modified Metropolis Dynamics (MMD [9]) can be well implemented in the CNN architecture [18]. In this paper, we address the improvement of the existing CNN method [ 17]. We have tested different multigrid models and compared segmentation results. The main reason for this research is to find proper implementation of the CNN-MRF technique on CNNs taking into consideration the abilities of today's and future's VLSI CNN systems.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages345-352
Number of pages8
Volume1296
ISBN (Print)3540634606, 9783540634607
DOIs
Publication statusPublished - 1997
Event7th International Conference on Computer Analysis of Images and Patterns, CAIP 1997 - Kiel, Germany
Duration: Sep 10 1997Sep 12 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1296
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th International Conference on Computer Analysis of Images and Patterns, CAIP 1997
CountryGermany
CityKiel
Period9/10/979/12/97

Fingerprint

Cellular neural networks
Cellular Networks
Random Field
Segmentation
Neural Networks
Image processing
VLSI circuits
Image Processing
Image segmentation
VLSI Circuits
Image Segmentation
Processing
Model
Real-time
Architecture

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Czúni, L., Szirányi, T., & Zerubia, J. (1997). Multigrid MRF based picture segmentation with cellular neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1296, pp. 345-352). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1296). Springer Verlag. https://doi.org/10.1007/3-540-63460-6_136

Multigrid MRF based picture segmentation with cellular neural networks. / Czúni, Lázló; Szirányi, T.; Zerubia, Josiane.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1296 Springer Verlag, 1997. p. 345-352 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1296).

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

Czúni, L, Szirányi, T & Zerubia, J 1997, Multigrid MRF based picture segmentation with cellular neural networks. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1296, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1296, Springer Verlag, pp. 345-352, 7th International Conference on Computer Analysis of Images and Patterns, CAIP 1997, Kiel, Germany, 9/10/97. https://doi.org/10.1007/3-540-63460-6_136
Czúni L, Szirányi T, Zerubia J. Multigrid MRF based picture segmentation with cellular neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1296. Springer Verlag. 1997. p. 345-352. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-63460-6_136
Czúni, Lázló ; Szirányi, T. ; Zerubia, Josiane. / Multigrid MRF based picture segmentation with cellular neural networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1296 Springer Verlag, 1997. pp. 345-352 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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