机械制造与自动化2026，Vol.55Issue(2)：15-19,5.DOI:10.19344/j.cnki.issn1671-5276.2026.02.003
基于HSV颜色空间与轮廓特征的铜板捆扎带定位方法
Copperplate Strapping Localization Method Based on HSV Color Space and Contour Features
摘要
Abstract
A copperplate bundling steel strip recognition and positioning method based on HSV(hue-saturation-brightness)color space and contour features is proposed to address the problem of rapid positioning of bundling steel strips on copper plate packaging lines.The method converts the obtained copper plate image from RGB color space to HSV color space,and extracts the main area of the steel strip through binary segmentation of the color channel.Canny edge detection is adopted to extract the edges of steel strips,and line fitting is performed through standard Hough transform.Distance threshold correlation is applied to locate and classify the obtained lines,and the positioning of bundled steel strips being achieved.The on-site experiments show that the positioning accuracy of copper plates and steel strips by the proposed method reaches 99.77％,which meets the positioning requirements of copper plate automatic production packaging lines and steel strips.关键词
机器视觉/目标检测/颜色空间/边缘检测Key words
copper plate packaging lines/machine vision/target detection/color space/edge detection分类
信息技术与安全科学引用本文复制引用
刘相何,高新峰,冯晓峰,马淑珍,李建华..基于HSV颜色空间与轮廓特征的铜板捆扎带定位方法[J].机械制造与自动化,2026,55(2):15-19,5.基金项目
国家重点研发项目(2020YFB1713603) （2020YFB1713603）
