Presentation | 1997/1/24 Real-time Morphology Processing using Highly-parallel 2D Cellular Automata CAM^2 Takeshi IKENAGA, Takeshi OGURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Mathematical morphology has many applications for image processing. However there are no compact, practical computers. This paper proposes a morphology processing method based on a highly-parallel 2D cellular automata called CAM^2 that can attain pixel-order parallelism on a single PC board. New data transfer method enables morphology processing with large and complex structuring elements (SEs). Evaluation results show that CAM^2 can perform more than a thousand dilation operations for various SEs at video rates. And it can perform multiple object tracking through a combination of morphology and other CA-based algorithm. CAM^2 is a promising platform for processing morphology. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | cellular automata / CAM / highly-parallel / real-time image processing / morphology |
Paper # | PRMU96-143 |
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Committee | PRMU |
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Conference Date | 1997/1/24(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Real-time Morphology Processing using Highly-parallel 2D Cellular Automata CAM^2 |
Sub Title (in English) | |
Keyword(1) | cellular automata |
Keyword(2) | CAM |
Keyword(3) | highly-parallel |
Keyword(4) | real-time image processing |
Keyword(5) | morphology |
1st Author's Name | Takeshi IKENAGA |
1st Author's Affiliation | NTT System Electronics Laboratories() |
2nd Author's Name | Takeshi OGURA |
2nd Author's Affiliation | NTT System Electronics Laboratories |
Date | 1997/1/24 |
Paper # | PRMU96-143 |
Volume (vol) | vol.96 |
Number (no) | 492 |
Page | pp.pp.- |
#Pages | 8 |
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