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Title:
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REACTION-DIFFUSION ALGORITHM DESIGNED FOR IMAGE EDGE DETECTION AND ITS PERFORMANCE EVALUATION |
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Author(s):
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Atsushi Nomura, Koichi Okada and Yoshiki Mizukami |
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ISBN:
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978-989-8533-79-1 |
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Editors:
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Katherine Blashki and Yingcai Xiao |
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Year:
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2018 |
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Edition:
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Single |
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Keywords:
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Edge Detection, Reaction-Diffusion, Fitzhugh-Nagumo Type Model, Initial Condition, Edge Thinning |
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Type:
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Full Paper |
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First Page:
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269 |
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Last Page:
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276 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The present paper proposes image edge detection algorithm utilizing a reaction-diffusion network. The network consists of two-dimensionally coupled FitzHugh-Nagumo type neurons, whose behavior is described by a set of time-evolving partial differential equations. The neurons non-linearity and their interconnection give the image edges through an iterative computation. The proposed algorithm differs from its previously-proposed one (Nomura et al., 2016) on the pre-processing for initializing the neurons state and the post-processing for thinning edges. The performance of the proposed algorithm is discussed with three image data-sets and two error measures, in comparison with performance of two other algorithms including Cannys edge detection method. |
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