2015 Fiscal Year Final Research Report
Computational principle using cellular architecture system and its implementation
| Project/Area Number |
24500287
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
OGURA Takeshi 立命館大学, 理工学部, 教授 (10388126)
KUMAKI Takeshi 立命館大学, 理工学部, 任期制講師 (60452596)
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Keywords | 動的輪郭法 / 連想メモリ / セルラーオートマトン / セルラーニューラルネットワーク / モルフォロジ |
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| Outline of Final Research Achievements |
In this study we developed the computational system based on the cellular architecture.
The cellular architecture is the category of computational models which are based on cellular architecture. Cellular Automaton (CA), Cellular Neural Network (CNN), and mathematical morphology are categorized this computational model. The common feature of this model is that the cells are locally connected and evolve their states by the states of their neighbor cells.
We progressed our research from three categories: algorithm, hardware architecture, and application. Our achievements are as follows. Active contour algorithm is developed based on CA, and implemented on the dedicated hardware. The real time processing was achieved. The dedicated hardware: CAM^2 was implemented on FPGA. CAM^2 on FPGA can easily change its capacity and configuration. That makes the evaluation of hardware algorithm capable. Mathematical morphology based image processing is developed as the application of this system.
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| Free Research Field |
電子工学
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