| Project/Area Number |
26330276
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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 |
Soft computing
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| Research Institution | Yamaguchi University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
岡田 耕一 山口大学, 大学教育機構, 講師 (50452636)
水上 嘉樹 山口大学, 創成科学研究科, 准教授 (60322252)
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| Co-Investigator(Renkei-kenkyūsha) |
ICHIKAWA Makoto 千葉大学, 文学部, 教授 (10294654)
SAKURAI Tatsunari 千葉大学, 理学研究科, 准教授 (60353322)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 反応拡散系 / 結合興奮系 / FitzHugh-Nagumo / 長距離抑制 / 視覚情報処理 / ノイズ除去 / 画像符号化 / エッジ検出 / 反応拡散アルゴリズム / 初期視覚 / FitzHugh-Nagumoモデル / 非線形素子 / 抑制性結合 / ノイズ / 画像蓄積 / 時間差・時間遅れ / 抑制性因子 / 3次元系 / 反応拡散ネットワーク / 離散結合興奮系 / 画像処理 |
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| Outline of Final Research Achievements |
This research work proposed algorithms of visual information processing: image noise reduction, intensity coding and edge detection. The algorithms utilize a system of coupled FitzHugh-Nagumo type nonlinear reaction elements. Each element has an internal state governed by two ordinary differential equations. The elements are placed on a two- or three-dimensional grid, and are coupled to their nearest neighboring elements under long range inhibition. By utilizing the grid, we successfully proposed the noise-reduction algorithm with a three-dimensional grid, the image intensity coding algorithm by introducing additive Gaussian noise into initial conditions, and the edge detection algorithm with external stimuli of image gradients.
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