基于特征优化的冷凝铜管表面缺陷分割  

Surface defect segmentation of condensing copper pipe based on feature optimization

作　　者：张雨涵 陈春梅[1,2] 邓豪 刘桂华 Zhang Yuhan;Chen Chunmei;Deng Hao;Liu Guihua(School of Information Engineering,Southwest University of Science and Technology,Mianyang 621000,China;Robot Technology Used for Special Environment Key Laboratory of Sichuan Province,Mianyang 621000,China;School of Information Engineering,Mianyang Teachers’College,Mianyang 621000,China;Sichuan HYHZ Tech.Co.,Ltd.,Mianyang 621000,China)

机构地区：[1]西南科技大学信息工程学院,绵阳621000 [2]特殊环境机器人技术四川省重点实验室,绵阳621000 [3]绵阳师范学院信息工程学院,绵阳621000 [4]四川华越汇智科技有限责任公司,绵阳621000

出　　处：《电子测量技术》2024年第14期139-148,共10页Electronic Measurement Technology

基　　金：校博士基金(20zx7123);中央军委装备发展部项目(23ZG8102)资助。

摘　　要：针对冷凝铜管表面缺陷特征表达能力弱、相似缺陷之间特征混淆导致的缺陷分割精度不足的问题,提出了一种基于特征优化的冷凝铜管表面缺陷分割方法。首先,针对冷凝铜管表面缺陷显著度不足的问题,提出了一种基于缺陷区域关注度增强策略的关注度优化模块,在抑制背景特征表达的基础上提升缺陷的特征表达能力。其次,通过采用不同膨胀率的空洞卷积,并结合特征图优化技术,以实现像素跨领域语义捕获,并解决相似缺陷之间特征混淆的问题。最后,建立基于特征对齐的多尺度特征增强融合方法,提升模型对不同尺度缺陷的检测能力。在真实产线环境中拍摄的冷凝铜管图像上进行多组对比实验,结果表明,提出的研究方法在解决上述问题时取得了精度与参数量的平衡,实现了较好的分割效果。该算法平均交并比达到80.53%、Dice系数达到88.94%、而模型大小仅为25 MB。To address the issue of insufficient accuracy in defect segmentation caused by weak expression of surface defect characteristics on condenser copper tubes and feature confusion between similar defects,a feature-optimized method for surface defect segmentation on condenser copper tubes is proposed.Firstly,to address the problem of indistinct surface defects on condenser copper pipes,the method utilizes an attention optimization module based on the defect area attention enhancement strategy to enhance the feature expression ability of defects and suppress background feature expression.Secondly,through the use of dilation convolutions with varying rates and the integration of feature map optimization technology,cross-domain semantic capture of pixels is achieved and resolve the issue of feature confusion between similar defects.Finally,a multi-scale feature enhancement fusion method based on feature alignment is established to improve the model's detection ability for defects at different scales.Multiple sets of comparative experiments are conducted on images of condenser copper tubes which are captured in real production line environments,and the results show that the proposed method achieves the balance between the precision and the number of parameters when solving the above problems,and achieves a good segmentation effect.The algorithm achieves an average intersection over union of 80.53%and a Dice coefficient of 88.94%,with the model size being only 25 MB.

关 键 词：冷凝铜管 表面缺陷 特征混淆 缺陷分割 特征优化 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN05[自动化与计算机技术—计算机科学与技术]