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| 基于机器视觉的食品缺陷检测系统研究 | |
| 引用本文： | 徐祥宇,刘玉婷,王超,杨亚宁.基于机器视觉的食品缺陷检测系统研究[J].大连民族学院学报,2012,21(3):257-261. |
| 作者姓名： | 徐祥宇 刘玉婷 王超 杨亚宁 |
| 作者单位： | 大连民族大学 a.信息与通信工程学院; b.机电工程学院,辽宁 大连 116605 |
| 基金项目： | 大连市青年科技之星项目(2017RQ151);中央高校基本科研业务费专项资金资助项目(0919-110143)。 |
| 摘 要： | 为解决食品生产过程中产品残缺问题,研究了一种基于机器视觉的缺陷检测方法,以饼干为样本进行了实验分析。首先构建实验系统,对单目摄像机进行标定,利用标定所得参数对图像进行畸变校正;然后对校正后所得图像进行图像分析处理;最后对处理完成图像进行区域检测,得到检测结果。实验结果表明:以该方法进行饼干缺陷检测成功率可达98.67%,并满足高精度、实时性的要求,为今后食品缺陷检测提供一定的参考方向。 |
| 关 键 词： | 机器视觉 缺陷检测 图像处理 HALCON |
Research on Food Defect Detection System Based on Machine Vision |
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| XU Xiang-yu,LIU Yu-ting,WANG Chao,YANG Ya-ning.Research on Food Defect Detection System Based on Machine Vision[J].Journal of Dalian Nationalities University,2012,21(3):257-261. | |
| Authors: | XU Xiang-yu LIU Yu-ting WANG Chao YANG Ya-ning |
| Institution: | a.School of Information and Communication Engineering; b.School of Electromechanical Engineering, Dalian Minzu University, Dalian Liaoning 116605, China |
| Abstract: | In order to solve the problem of incomplete products in food production process, a defect detection method based on machine vision was studied, taking biscuits as samples for experimental analysis. Firstly, an experimental system is constructed to calibrate the monocular camera and correct the distortion of the image by using the calibrated parameters. Then, the image after calibration is analyzed and processed. Finally, the region detection of the processed image is carried out and the detection results are obtained. The experimental results show that the success rate of biscuit defect detection with this method can reach to 98.67%, and meet the requirements of high accuracy and real time, which provides a certain reference for future food defect detection. |
| Keywords: | machine vision defect detection image processing HALCON |
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