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

Takeshi Ikenaga*, Takeshi Ogura

*この研究の対応する著者

研究成果: Article査読

15 被引用数 (Scopus)

抄録

Mathematical morphology is a promising computer paradigm based on set theory and has many applications in image processing. Although some architectures have been proposed, there are as yet no compact, practical computers that can handle a variety of morphological operations with large, complex structuring elements at video rates. This has prevented the great potential of morphology from being fully realized. This paper describes a morphology processing method that uses a highly parallel two-dimensional (2-D) cellular automaton architecture called it CAM 2 (Cellular AutoMata on Content Addressable Memory). New mapping methods achieve high-throughput complex morphology processing. Evaluation results show that CAM 2 performs one morphological operation for basic structuring elements within 30 μs. Furthermore, CAM 2 can also handle an extremely large and complex structuring element of 100 X 100 at video rates. CAM 2 will increase the potential use of morphology and make a significant contribution to the development of various real-time image processing systems.

本文言語English
ページ(範囲)2018-2026
ページ数9
ジャーナルIEEE Transactions on Image Processing
9
12
DOI
出版ステータスPublished - 2000 12月
外部発表はい

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ グラフィックスおよびコンピュータ支援設計

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