纹理边界引导的复合材料圆孔检测方法

doi:10.3785/j.issn.1008-973X.2020.12.003

浙江大学学报(工学版)

2020, Vol. 54

Issue (12): 2294-2300 DOI: 10.3785/j.issn.1008-973X.2020.12.003

机械工程、能源工程

纹理边界引导的复合材料圆孔检测方法

张太恒1(

),梅标2,乔磊1,杨浩杰1,朱伟东1,*(

)

1. 浙江大学机械工程学院，浙江杭州 310027
2. 浙江大学先进技术研究院，浙江杭州 310027

Detection method for composite hole guided by texture boundary

Tai-heng ZHANG1(

),Biao MEI2,Lei QIAO1,Hao-jie YANG1,Wei-dong ZHU1,*(

)

1. School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
2. Institute of Advanced Technology, Zhejiang University, Hangzhou 310027, China

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摘要：

针对复合材料纹理背景下圆形基准孔检测困难的问题，提出一种纹理边界引导的圆孔检测方法.该方法将局部三进制模式（LTP）与灰度共生矩阵（GLCM）对比度融合为纹理对比度，通过提取纹理对比度特征实现孔内纹理和孔外纹理的快速分割，得到与圆孔边界近似吻合的纹理边界，利用纹理边界的位置信息去除绝大多数非圆孔边界的边缘点，利用纹理边界的连通信息对剩余边缘点进行分组，使用内嵌圆参数统计机制的随机圆检测算法从每组边缘点各检出1个圆孔目标，进而完成对多个圆孔目标的检测.实验结果表明，在复合材料圆孔检测场景中该方法有94%以上检出率，3%以下检错率和较高的检测速度，并表现出良好的检测鲁棒性.

关键词： 局部二进制模式(LBP); 局部三进制模式(LTP); 灰度共生矩阵(GLCM); 纹理分割; 圆检测; 机器人制孔

Abstract:

A novel hole detection method guided by texture boundary was proposed, aiming to solve the detection problem of composite circular reference holes. The texture contrast based on local ternary pattern (LTP) and gray-level co-occurrence matrix (GLCM) was extracted first to perform the fast segmentation of intra-hole texture and out-of-hole texture, which could obtain the texture boundaries closely matching the hole boundaries. Then, the position information of texture boundaries was used to remove most of the edge points that belong to non-hole boundaries. The connectivity information of texture boundaries was used to group the remaining edge points. Finally, the randomized circle detection method with circle-parameter statistics mechanism was applied to detect a single circle from each group of edge points, which completed the detection of multiple hole targets. Experimental results showed that this method had a detection rate of more than 94%, an error rate of less than 3%, a high detection speed and good detection robustness in the composite hole detection scene.

Key words: local binary pattern (LBP) local ternary pattern (LTP) gray-level co-occurrence matrix (GLCM) texture segmentation circle detection robotic drilling

收稿日期: 2019-10-29 出版日期: 2020-12-31

CLC:

TP 391

基金资助: 国家自然科学基金资助项目（51675479，51805478）

通讯作者: 朱伟东 E-mail: thzhang@zju.edu.cn;wdzhu@zju.edu.cn

作者简介: 张太恒（1994—），男，硕士生，从事图像处理、机器视觉等研究. orcid.org/0000-0001-5169-0310. E-mail： thzhang@zju.edu.cn

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引用本文:

张太恒,梅标,乔磊,杨浩杰,朱伟东. 纹理边界引导的复合材料圆孔检测方法[J]. 浙江大学学报(工学版), 2020, 54(12): 2294-2300.

Tai-heng ZHANG,Biao MEI,Lei QIAO,Hao-jie YANG,Wei-dong ZHU. Detection method for composite hole guided by texture boundary. Journal of ZheJiang University (Engineering Science), 2020, 54(12): 2294-2300.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2020.12.003 或 http://www.zjujournals.com/eng/CN/Y2020/V54/I12/2294

图 1 局部二进制模式原理

图 2 纹理边界引导圆检测

图 3 对单组边缘点进行随机圆检测

图 4 不同纹理分割方法得到的纹理边界及其算法效率

表 1 不同纹理量化方法处理下孔内外纹理的对比度差值

表 2 RCD投票和圆参数统计机制的圆孔检出情况

图 5 VRSR、EDCircles和RCD方法下的部分实验结果可视化

表 3 VGSR与EDCircles圆孔检测性能对比

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