江汉大学学报（自然科学版）2026，Vol.54Issue(3)：72-84,13.DOI:10.16389/j.cnki.cn42-1737/n.2026.03.009
结合实例分割和双目结构光的钢丝绳分割与尺寸测量
Steel Wire Rope Segmentation and Size Measurement Based on Instance Segmentation and Binocular Structured Light
摘要
Abstract
To effectively measure the dimensions of steel wire ropes with complex geometries and textures,a segmentation algorithm combining binocular structured light and an improved YOLOv8-seg is proposed.First,for the complex surface characteristics of steel wire ropes,dynamic snake convolution(DSConv)is introduced to construct a specialized feature extraction module,namely C2f-DSC.Then,a BoTNet(bottleneck transformer)module,which combines the advantages of convolutional neural networks(CNNs)and Transformers,is introduced into the Neck.Finally,SIoU is adopted as the bounding box regression loss function.Experimental results show that,compared with the traditional YOLOv8-seg algorithm,the improved algorithm achieves a 7.4%increase in mAP@0.5(seg)and a 15.1%increase in mAP@0.5∶0.95(seg),effectively improving the segmentation accuracy.In the measurement module,binocular structured light is used for dimensional measurement within a range of 2 m,and the diameter error of the steel wire rope is controlled within 0-5%of its nominal diameter,meeting industry standards.关键词
实例分割/注意力机制/双目结构光/工业检测Key words
instance segmentation/attention mechanism/binocular structured light/industrial inspection分类
信息技术与安全科学引用本文复制引用
吴中旭,夏骏麒,张超,丁建军,孙超..结合实例分割和双目结构光的钢丝绳分割与尺寸测量[J].江汉大学学报（自然科学版）,2026,54(3):72-84,13.基金项目
国家重点研发计划基金资助项目(2018YFD1100104) （2018YFD1100104）
湖北省教育厅教学研究项目(2022277) （2022277）
武汉市教育局产学研项目(CXY202210) （CXY202210）
