background noise suppression

基本解释

This dissertation advances a efficient algorithm which is used for background and noise suppression based on WGOS according to analyzing and studying real IR images.
通过对实际红外图像的背景和噪声特性的研究分析，设计改进了一种基于加权广义次序统计滤波器的背景抑制的算法。
The results show that, the proposed method can satisfy the requirements from the aspects of background noise suppression, normal range values on the target and edge-preservation.
实验结果表明，采用该方法，能够满足距离像背景噪声抑制、目标上距离值正常和边缘保持三方面要求。
By means of experiments the performances of anti noise and background suppression and false target suppression are compared between order morphology filtering and high pass filtering.
通过实验比较了这种方法与传统高通滤波检测方法在抗噪声性能、背景抑制性能以及抑制虚警目标性能方面的差异。