基于边界跟踪测量麻纤维横截面参数的算法研究与应用

It is difficult to simultaneously measure the parameters of multiple fibers in the cross-section image of fibers. To solve this problem, an algorithm based on boundary tracking for measuring the cross-section parameters of hemp fibers was proposed. After the edges of hemp fibers were extracted by an edge extraction algorithm, an appropriate edge detection image was obtained by modifying sensitivity threshold of the edge extraction algorithm. The hemp fibers were then identified and marked by a boundary tracking algorithm. All hemp fibers in the image were marked by cyclic marking and path point coordinates of boundary tracking were preserved. Finally, the algorithm was used to measure the perimeter, area and roundness of hemp fibers. The experimental results show that the method can simultaneously measure cross-sectional parameters of several hemp fibers. According to the data of the standard circle used for testing, the circumference deviation and area deviation of hemp fibers measured by this algorithm are about 3% and 4% respectively, and the data error is small.