基于机器视觉的软包电池尺寸测量方法  

Measurement Method of Soft-Pack Battery Size Based on Machine Vision

作　　者：丁凌 黄家才 陈田 包光旋 DING Ling;HUANG Jia-cai;CHEN Tian;BAO Guang-xuan(Industrial Center/School of Innovation and Entrepreneurship,Nanjing Institute of Technology,Nanjing 211167,China)

机构地区：[1]南京工程学院工业中心、创新创业学院,江苏南京211167

出　　处：《南京工程学院学报（自然科学版）》2021年第1期1-6,共6页Journal of Nanjing Institute of Technology(Natural Science Edition)

基　　金：国家自然科学基金项目(61873120);南京工程学院科研基金项目(YKJ201824、CKJA201903)。

摘　　要：针对人工测量软包电池尺寸误差大、精度低等问题,提出一种基于机器视觉的软包电池尺寸测量系统.电机控制高精度工业相机沿电池边缘定点拍摄图像,采用图像预处理、ROI处理及连通区域标记等步骤获得电池尺寸数据,将电池数据与标准块数据线性计算,获得像素坐标系下电池尺寸,建立坐标关系,获得实际物理尺寸.试验结果表明:软包电池尺寸测量系统的测量误差绝对值在0.05 mm以内,检测精度较高、速度较快,满足工厂测量需求.In order to solve the problems with major error and low precision in manual measurement of soft-pack battery size,a measurement system of soft-pack battery size based on machine vision was proposed.The motor controlled high-precision industrial camera took images along the battery edge at a fixed point,and image preprocessing,ROI processing and linear fitting and other steps were taken to obtain the battery size data.Linear calculation of the battery data and standard block data was done to obtain the battery size in the pixel coordinate system,and finally coordinate relationship to obtain the actual physical size was built.The experimental results show that the error of this method is within±0.05 mm,which meets the requirements of factory measurement.

关 键 词：机器视觉 软包电池 尺寸测量 ROI处理 连通区域标记 

分 类 号：TM912.9[电气工程—电力电子与电力传动]