基于改进凸包缺陷算法的扎带定位方法  

Tie-positioning method based on improved convex hull defect algorithm

作　　者：周其洪[1] 陈唱 任佳伟 洪巍 岑均豪 ZHOU Qihong;CHEN Chang;REN Jiawei;HONG Wei;CEN Junhao(College of Mechanical Engineering,Donghua University,Shanghai 201620,China;Guangzhou Seyouth Automation Technology Co.,Ltd.,Guangzhou,Guangdong 511400,China)

机构地区：[1]东华大学机械工程学院,上海201620 [2]广州盛原成自动化科技有限公司,广东广州511400

出　　处：《纺织学报》2024年第9期212-219,共8页Journal of Textile Research

基　　金：中央高校基本科研业务费专项资金资助项目(22D110321);国家重点研发计划项目(2017YFB13040)。

摘　　要：针对传统视觉在检测捆扎带时存在难检、漏检、定位扎带位置困难和速度慢等问题,提出一种基于改进凸包缺陷算法的扎带定位方法。采用自适应直方图均衡化图像增强算法,以增强编织袋区域与背景的对比度;利用快速凸包算法获得编织袋轮廓的凸包,减少获取凸包的时间;最后,通过改进凸包缺陷算法对编织袋轮廓凸包进行缺陷检测,根据检测结果中凸包缺陷点的位置和缺陷深度进行筛选得到扎带定位点。同时为验证该算法的准确性与鲁棒性,在具有复杂背景干扰的环境下进行实验,将传统凸包缺陷算法与改进后的凸包缺陷算法进行对比分析。实验结果表明:相比于传统凸包缺陷算法无法检测出编织袋轮廓的全部缺陷从而存在漏检,改进后的凸包缺陷算法漏检率为0,定位误差小于4 mm,可有效定位扎带位置并具有较高的鲁棒性。Objective Aiming at difficult detection,missed detection,difficulty in locating the position of ties and slow speed in conventional algorithms when detecting ties due to the color similarity between ties and woven bags,as well as the small area occupied by ties,the conventional vision is difficult to detect the position of ties,and deep learning algorithms are difficult to create datasets.Therefore,a strap positioning method based on improved convex hull defect algorithm is proposed.Method An adaptive histogram equalization image enhancement algorithm was adopted to increase the contrast between the woven bag contour area and the background,and to improve the extraction accuracy of the woven bag contour.A fast convex hull algorithm was then adopted to obtain the convex hull of the woven bag contour,aiming at reducing the time required to obtain the convex hull of the woven bag contour.Consequently,an improved convex hull defect algorithm was established and used for defect detection of woven bags.Based on the location and depth of the convex hull defect points in the detection results,defect points were screened to obtain the final required defect point,which is the tie positioning point.Results In order to verify the accuracy and robustness of the algorithm,experiments were conducted in an environment with complex background interference,based on the fact that the number of ties commonly used for bundling woven bags is 2 or 3 in practice.In order to fit the actual situation,three types of woven bag images were captured using a ZED camera with a number of 2-4 ties.Due to the small pixel difference between the woven bag and the surrounding environment,direct image pre-processing may result in low accuracy of the subsequently extracted woven bag contour.In order to retain more details of the woven bag contour,the image was first processed using adaptive histogram equalization,and then the woven bag contour was obtained by image pre-processing,morphological processing,contour rendering and filtering.Afterwards,a fas

关 键 词：扎带定位 凸包算法 缺陷检测 图像增强 直方图均衡化 筒子纱包装 

分 类 号：TS103.9[轻工技术与工程—纺织工程]