Study of a Visual Measurement System for Woven Grids

Abstract

In order to solve the problems of low efficiency and poor accuracy in measuring the geometrical parameters of braided pipe mesh by traditional methods, an improved method for measuring the geometrical parameters of braided pipe is proposed. The method acquires the braided pipe grid image by a CMOS camera and reduces the influence of color and noise on the image quality by using preprocessing means such as grayscaling and bilateral filtering. Subsequently, the region of interest of the woven tube grid structure is extracted from the background using an iterative method, and the average filament diameter is calculated by Canny edge detection and a modified Hough transform. Next, the skeleton wire segment contours are obtained using the skeleton operator, and the contours are further optimized by the RDP algorithm to retain only the straight line segments. The co-linear straight line segments are connected to form a complete mesh line by a contour merging operation. Finally, the mesh size is indirectly obtained using the improved least-squares method based on feature classification. Through experimental verification, the method has a practical value as it improves the average wire diameter accuracy by 3% and the mesh size accuracy by 1% compared with the traditional machine vision measurement method.

Keywords

machine vision / woven tube / improved Hough transform / skeleton profile optimization

References

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