摘要
图像识别在工业现场检测中应用广泛 ,较常用的方法有灰度级统计法、阈值法等 〔1〕,但这些方法要求检测环境具有较稳定的光照系统 .本文通过一个工业检测中的案例将归一化内标法的灰度级校正应用于图像检测中 ,该方法可以在光强变化较大的情况下对图像进行准确的识别 。
Pattern recognition is widely used in online object detection in the practical application. There are some popular methods for it such as the statistic of histogram, thresholding. But they can not work well for any light varying conditions. This paper puts Threshold Revision in a new use of pattern recognition by a case of online detection. This method suits for light varying conditions better than the method of Histogram Statistic
出处
《小型微型计算机系统》
CSCD
北大核心
2002年第3期357-359,共3页
Journal of Chinese Computer Systems
