2A2-K05 Retina Inspired Edge Detection for Robot Vision
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概要
- 論文の詳細を見る
Biology inspired edge-detection algorithms in image processing typically convolve a filter operator and the input image. Recent retinal research have shown that ganglion cell receptive fields cover the mammalian retina in a mosaic arrangement, with no overlap in the sharp vision area. The biological relevance of traditional and widely accepted edge-detection algorithms with convolution-based operators has been disproved. Using traditional filters with non-overlapping operator architectures leads to losses in contour information. This paper introduces a novel retina based edge-detection algorithm that takes into consideration data convergence, as well as the dynamic properties of the retina, by incorporating eye vibrations.
- 一般社団法人日本機械学会の論文
- 2007-05-11
著者
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Hashimoto Hideki
Institute Of Industrial Science University Of Tokyo
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Resko Barna
Institute Of Industrial Science University Of Tokyo:computer And Automation Research Institute Hunga
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Hashimoto Hideki
Institute Of Industrial Science The University Of Tokyo
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Kawaji Kouhei
Institute Of Industrial Science University Of Tokyo
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Zheng Shaohua
Institute of Industrial Science, University of Tokyo
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Zheng Shaohua
Institute Of Industrial Science University Of Tokyo
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- Preface
- 2P1-E14 Cognitive Vision Inspired Feature Understanding in Intelligent Space
- 2A2-K05 Retina Inspired Edge Detection for Robot Vision
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