Damage Detection of DKDP Crystals Based on Grayscale Adaptive Enhancement
In KDP&DKDP crystal damage studies,it is necessary to count the damage points in the image.In order to solve the problem of statistical inaccuracy caused by low contrast of weak damage points in damaged images,damage points detection method based on local histogram grayscale adaptive enhancement was proposed.Firstly,the high-frequency background was removed by image difference,and secondly,according to the difference between gray scale and variance of each pixel neighborhood in the image and the gray and variance of the entire image,the pixels to be enhanced was screened out,and through the neighborhood maximum gray scale and the global maximum gray scale to get the gray adjustment coefficient,the image was adaptively enhanced,finally,the enhanced image was segmented by threshold and target separation.The experimental results show that the SNR of weak damage points can be improved by the enhancement algorithm,which is more conducive to detecting weak damage points in the image and improving the accuracy of DKDP crystal damage statistics.
万方数据
维普
