The robot intelligent visual path selection method is of great importance to improving the performance of industrial robots, including in the health industry. An optimization design method for robot visual path selection system is proposed. The application of this tool also can be in relation to the health industry for medical images. Based on data mining, the intelligent visual image is preprocessed by grayscale, histogram equalization, denoising, and so on. According to the different environments of image detection, an appropriate method is chosen to extract the edge of the image and calculate the regression of data mining. The coordinate system in the path recognition system is transformed, and the robot motion path model is established. Based on the analysis of the optimal path data, the visual path planning of the robot is realized. The experimental results show that the visual path selection method can realize the path planning of the robot efficiently and accurately. The same came be extended to preamble path planning for surgical procedures in order to assist doctors.
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