基于图像配准的食品包装印刷缺陷检测与实现

传统食品包装印刷缺陷检测系统采集的实时图像和标准图像在空间上存在着较大的差异,在缺陷检测前首先要将实时图像与标准图像配准,再进行图像缺陷检测与识别。针对传统检测方法检测时间长、分拣效率低、漏检率高和对人视觉要求高等缺点,在图像增强处理的基础上,提出了一种适用于食品包装印刷缺陷检测的图像配准算法。该算法利用小波变换改进算法对图像边缘进行检测,有效地解决了噪声所产生的误检问题。实验仿真结果表明,该算法具有较高的稳定性和可靠性,能够精确检测出小于0.1 mm的刀丝和拉条等细微缺陷,实现了食品包装印刷品的无损检测。

Printing Defects Detection and Realization in Food Packaging Based on Image Registration

There is a big difference in space between the real-time image collected by traditional printing defects detection system in food packaging and standard image.Before defects detection,the real-time image is registered with the standard image,and then image defects are detected and identified.In view of such defects with long time detection,low sorting efficiency,high missing rate and high requirements for human vision of traditional detection methods,an image registration algorithm for printing defects detection in food packaging based on image enhancement processing was proposed.And the application of improved algorithm of wavelet transformation to image edge detection has effectively solved the problems of error detection caused by noises.The experimental simulation results indicate that this system is highly stable,and reliable and can precisely detect such micro-defects as knife fuse and braces less than 0.1 mm,which realizes non-destructive detection in food packaging printings.