图像预处理的滤波算法研究

Researching on Filtering Algorithms for Image Pretreatment

对于需要持续跟踪目标的成像系统来说,目标会出现由点到面或由面到点的变化。针对这种情况,分析并比较了三种点目标和面目标均适合的图像预处理滤波算法。仿真实验证明,改进的高通滤波算法比高通中值滤波算法和高斯高通滤波算法效果更好,可以在实际工程中得到应用。

For the imaging system with tracking target continually,the target can change from point to side or from side to point. According to such case,three kinds of filtering algorithms are analyzed and compared for imaging pretreatment that adapt to both point and side targets. The simulated experiments show that the filtering effect of improved high-pass filtering is better than those of high-pass median filtering and gauss high-pass filtering,and it can be applied to practical project.