红外热图的预处理设计

The Design to Pretreatment for Infrared Images

为解决红外热图强噪声、低对比度的问题,引入灰度调整法和巴特沃斯低通滤波方法。先对红外热图特点进行了分析,对理想的图像处理目标进行了设计。根据目标,设计处理步骤,并实施相应处理环节,发现该处理方法有效地削弱了噪声带来的高频信号,降低正常区域背景,使得原本模糊的缺陷信号变得清晰,而且提高了图像的整体对比度,为下一步缺陷的分割和定量计算奠定了基础。

In order to solve.the two problems of low contrast and strong noise with infrared images, the Gray Adjustment Act and the Bntterworth Low--pass Filter were introduced. At first, characteristics of infrared image were analyzed. The ideal target of image processing was designed. According to the target, processing steps were devised and implemented. Through steps, high frequency signals from the noise, were reduced and the background of the normal regional was cut down. So fuzzy defect signals became clear, and the contrast of picture was also improved. These were beneficial for automatically calculating and extracting defect features.