摘要
针对天空红外图像的特点,利用背景像素点和目标像素点的灰度值在空间分布上与其邻域像素灰度值之间的差异,提出相似性滤波的方法,相似性滤波的方法,算法简单,图像中的背景干扰能够被极大抑制,图像中点目标的对比度和图像的信噪比被显著提高。为减小噪声影响,一种自适应的噪声处理方法被给出,它对图像中的高斯噪声和脉冲噪声分别处理,在提高去噪效果的同时保留了图像的边缘信息。仿真结果表明提出的算法对红外点目标的背景具有极好的抑制能力。
According to the features of the infrared image, using the gray value difference between the background pixels and the target pixels with their neighbor in the spatial distributiou, a concept of comparability filtering is proposed. The method of the comparability filtering is simple, the background interference can be greatly suppressed, the signal - to - noise ratio and contrast of the dim target are obvious improved. In order to reduce the effects of noise, a method of adaptive processing is given, it respectively process the Gaussian noise and pulse noise are, which not only can effective remove the noise but also can preserve the edge information. The simulation results showed that the proposed approaches have effective inhibition for infrared background of dim target.
出处
《微计算机应用》
2008年第6期12-16,共5页
Microcomputer Applications
关键词
红外点目标
自适应噪声处理
相似性滤波
Infrared dim target, Adaptive processing of noise , Comparability filtering
