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Neural Units with Higher-Order Synaptic Operations for Robotic Image Processing Applications

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Abstract

Neural units with higher-order synaptic operations have good computational properties in information processing and control applications. This paper presents neural units with higher-order synaptic operations for visual image processing applications. We use the neural units with higher-order synaptic operations for edge detection and employ the Hough transform to process the edge detection results. The edge detection method based on the neural unit with higher-order synaptic operations has been applied to solve routing problems of mobile robots. Simulation results show that the proposed neural units with higher-order synaptic operations are efficient for image processing and routing applications of mobile robots.

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Authors and Affiliations

  1. Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, China

    Zeng-Guang Hou & Min Tan

  2. Intelligent Systems Research Laboratory, College of Engineering, University of Saskatchewan, Saskatoon, Saskatchewan, S7N 5A9, Canada

    Ki-Young Song & Madan M. Gupta

Authors
  1. Zeng-Guang Hou
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  2. Ki-Young Song
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  3. Madan M. Gupta
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  4. Min Tan
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Correspondence to Zeng-Guang Hou.

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Hou, ZG., Song, KY., Gupta, M.M. et al. Neural Units with Higher-Order Synaptic Operations for Robotic Image Processing Applications. Soft Comput 11, 221–228 (2007). https://doi.org/10.1007/s00500-006-0064-8

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