Real-time morphology processing using highly parallel 2D cellular automata CAM2

Takeshi Ikenaga, Takeshi Ogura

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

This paper proposes a real-time morphology processing method based on a highly-parallel 2D cellular automata called CAM2 that can attain pixel-order parallelism (several hundred thousands) on a single PC board. Evaluation results show that CAM2 can perform various types of morphology processing within video rates, indicating it could be a promising platform for processing Morphology.

Original languageEnglish
Pages562-565
Number of pages4
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA
Duration: 1997 Oct 261997 Oct 29

Other

OtherProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
CitySanta Barbara, CA, USA
Period97/10/2697/10/29

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Ikenaga, T., & Ogura, T. (1997). Real-time morphology processing using highly parallel 2D cellular automata CAM2. 562-565. Paper presented at Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3), Santa Barbara, CA, USA, .