CAJ | 학술논문

在机器视觉检测中，图像光照不均匀现象会增加后续处理的难度，因此需要对其进行有效的阈值分割。算法通过窗口分割提取原图的背景灰度图后，结合局部对比度调整系数，对图像进行背景均匀化处理，然后进行全局阈值分割。实验对具有典型光照问题的高分辨率线纹尺图像处理效果良好，平均时间在0．5 s 以内。通过与其他几种算法的对比，证明了本算法处理效果最佳，所耗时间满足实时性，为目标的进一步测量工作奠定了良好的基础。
재궤기시각검측중，도상광조불균균현상회증가후속처리적난도，인차수요대기진행유효적역치분할。산법통과창구분할제취원도적배경회도도후，결합국부대비도조정계수，대도상진행배경균균화처리，연후진행전국역치분할。실험대구유전형광조문제적고분변솔선문척도상처리효과량호，평균시간재0．5 s 이내。통과여기타궤충산법적대비，증명료본산법처리효과최가，소모시간만족실시성，위목표적진일보측량공작전정료량호적기출。
In machine vision inspection,uneven illumination images will increase the difficulty of the subsequent image pro-cessing.Therefore,uneven illumination images need effective threshold segmentation.After extracting the background grayscale of the original image through window division,this paper homogenized the background of the image combined with the local contrast adjustment coefficient.Then used global threshold segmentation to binarize the image.Images used in the ex-periment are linear scale images with typical lighting problems and a hign resolution.The results indicate that the effect of the binarization is pretty fine and the average processing time is within 0.5s.Through comparison with several other algorithms,it demonstrates that this algorithm can ensure the best processing effect and the consumption of time can meet the requirement of real-time industrial measurement,so that provides a good foundation for further measurement.