Design of Subpixel Computer Vision Detection Algorithm Based on Texture Image

Testing technology based on computer vision is a new testing technology. It uses the image as a means or carrier to detect and transmit information, extracts useful signals from the image, and obtains various required parameters by processing the measured image. It has the characteristics of non-contact, full-field measurement, high precision and high degree of automation. In this paper, an optimal design scheme of sub-pixel computer vision detection algorithm based on texture image is proposed. The sub-pixel image texture is extracted by texture database, and then the sub-pixel accuracy is grayed by computer vision detection to achieve the optimal design of sub-pixel accuracy. Finally, the sub-pixel of texture image is analyzed experimentally. Finally, the experiment shows that the sub-pixel gray level is improved by 8.45% compared with the traditional algorithm in the case of texture primitives. It is of great practical significance to carry out the research of computer vision inspection design with sub-pixel as the core to speed up the improvement of vision inspection technology.