Abstract:

Focusing on the problems of low efficiency and high cost of artificial detection in vamps statistics and size measurement, a machine vision method of counting and measuring vamps was presented. Using the template matching algorithm based on the edge direction to complete quantity statistics of vamps. The minimum enclosing rectangle algorithm measured the size of vamps was employed. To verify the reliability of the proposed method, three kinds of vamps were detected in illumination changes, clutter and occlusion, the results were compared with Sum of absolute differences, normalized cross correlation and Hausdorff distance matching algorithm; The measurement results of minimum enclosing rectangle algorithm were compared with manual test. The experimental results demonstrate that template matching algorithm based on the edge direction is more robust in complex environment, and it can finish the quantity statistics of vamps; The relative error between the minimum enclosing rectangle method and the artificial measurement is less than 0.67%, which meets the actual needs of industrial production.

Key words: vamp quantity, vamp size, edge direction, minimum enclosing rectangle algorithm