介绍了激光干扰对CCD成像系统的影响，从影响光电成像系统目标检测性能的角度阐述了激光干扰图像与背景杂波的相似性.针对激光干扰图像的频率特性，利用小波分析在图像处理中的优势，结合机器视觉中背景杂波的量化尺度，提出了基于小波能量和光斑尺寸的综合图像尺度.对典型激光干扰图像的小波分析显示，随着激光干扰功率的增大，干扰图像中的低频分量和高频分量会同时增加，图像中的光斑可被看作是低频分量，光斑周围“斑驳状”的散斑是高频分量，类似于盐噪音.激光视场内干扰实验及数值计算表明: 激光干扰会降低Otsu算法分割准确度，增加相关检测虚警概率，该尺度将干扰图像的高频分量和低频分量结合起来，同时克服了单一光斑尺度和小波能量尺度的局限性，能够较好地评估视场内激光干扰CCD成像系统的效果.

The influence of laser jamming on CCD imaging system is introduced. The similarity between laser jamming image and background clutter is illuminated in the view of their influence on electro-optical imaging detection system. Aiming at the frequency characteristic of laser jamming image and combining with background clutter metrics in machine vision, a comprehensive image metric for describing laser jamming effect is proposed by taking advantage of the predominance of wavelet analysis, based on wavelet energy and spot size. The wavelet analysis on typical laser jamming images indicates that the approximation coefficients and detail coefficients will both increase with the raise of laser power; the laser spot in jamming image can be regarded as the approximation coefficients, and the laser speckle around the spot can be seen as detail coefficients, which is similar to the salt noise. Laser jamming experiment in the field of view and simulative calculation show that laser jamming can reduce the segmentation accuracy of Otsu method, and raise the false alarm probability of correlation method. The metric can avoid the weaknesses of spot metric and wavelet energy metric. Hence, it is able to reflect the performance of laser jamming on CCD imaging system in the field of view properly.