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

机译:具有高阶突触操作的神经单元,用于机器人图像处理应用

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摘要

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.
机译:具有高阶突触操作的神经单元在信息处理和控制应用中具有良好的计算特性。本文介绍了用于视觉图像处理应用程序的具有更高阶突触操作的神经单元。我们使用具有高阶突触操作的神经单元进行边缘检测,并使用霍夫变换来处理边缘检测结果。提出了一种基于神经元高阶突触操作的边缘检测方法来解决移动机器人的路由问题。仿真结果表明,所提出的具有高阶突触操作的神经单元对于移动机器人的图像处理和路由应用是有效的。

著录项

  • 来源
    《Soft Computing》 |2007年第3期|221-228|共8页
  • 作者单位

    Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China;

    Intelligent Systems Research Laboratory College of Engineering University of Saskatchewan Saskatoon Saskatchewan S7N 5A9 Canada;

    Intelligent Systems Research Laboratory College of Engineering University of Saskatchewan Saskatoon Saskatchewan S7N 5A9 Canada;

    Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China;

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