DocumentCode :
318357
Title :
Real-time morphology processing using highly parallel 2D cellular automata CAM2
Author :
Ikenaga, Takeshi ; Ogura, Takeshi
Author_Institution :
NTT Integrated Inf. & Energy Syst. Lab., Kanagawa, Japan
Volume :
2
fYear :
1997
fDate :
26-29 Oct 1997
Firstpage :
562
Abstract :
This paper proposes a real-time morphology processing method based on a highly-parallel 2D cellular automata called CAM2 (cellular automata on content addressable memory) 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
Keywords :
cellular automata; content-addressable storage; mathematical morphology; parallel algorithms; real-time systems; video signal processing; cellular automata on content addressable memory; highly parallel 2D cellular automata CAM2; pixel-order parallelism; real-time morphology processing; video rates; Associative memory; CADCAM; CMOS technology; Computer aided manufacturing; Equations; Image processing; Large scale integration; Morphology; Performance evaluation; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
Type :
conf
DOI :
10.1109/ICIP.1997.638833
Filename :
638833
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=318357
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