基于角点和三角形内间距的多工件检测方法.pdf

电子信息
第 10 卷  第3期 集  成   技   术 Vol. 10  No. 3
g workpieces. The proposed descriptor
detects the corner points and local contour direction of the target, which can be used to detect the suspected
contour segments on the template contour. Then, the improved TCDs feature matrices are extracted from
the target contour and the suspected contour segments of the templates. Finally, by calculating the distances
between target contour matrix and each suspected contour feature matrix, the suspicious contour segment
with the smallest distance can be determined as the corresponding workpiece. The experimental results
收稿日期：2020-10-30 修回日期：2020-12-07
作者简介：慎正，硕士研究生，研究方向为图像识别; 胡超(通讯作者)，教授，博士研究生导师，研究方向为机器视觉、自动化技术，E-mail：
******@。
万方数据3期 慎 正，等：基于角点和三角形内间距的多工件检测方法 13
showed that, not only recognition rate but also the e●ciency of the proposed algorithm can be improved
compared with traditional TCDs algorithm.
Keywords  workpiece inspection; partial contour matching; triangular centroid distances
1  引 言 练反向传播神经网络，对复杂的管道网络图像
完成了识别。文献[9-10]利用物体的局部轮廓大