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9 August 2018 Edge detection based on adaptive oriented double opponent neurons
Zhen Zhang, Huiqi Li, Guoru Zhao
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Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108062Z (2018) https://doi.org/10.1117/12.2503370
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
Abstract
A new method of edge detection based on adaptive oriented double opponent neurons is presented in this paper, considering that the homocentric opponent receptive field is lack of directionality, and the anisotropic of receptive field in ODOG model will be badly restrained during weighting process. To get relatively complete image edges, the edge directional operators are introduced to choose Difference of Gaussians (DOG) model or the orientations of Oriented Difference of Gaussians (ODOG) model automatically. Compared with DOG and ODOG methods, the methods detect weak edges effectively with better edge connectivity and edge confidence.
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Zhen Zhang, Huiqi Li, and Guoru Zhao "Edge detection based on adaptive oriented double opponent neurons", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062Z (9 August 2018); https://doi.org/10.1117/12.2503370
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KEYWORDS
Edge detection
Neurons
Detection and tracking algorithms
Machine vision
Visual process modeling
Visualization
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