摘要
红外图像在实际采集过程中出现的噪声对基于红外图像的工程应用、尤其是在使用距离作为评价工具时,对评价效果的准确性具有不同程度的影响,但距离又是一种具有实用价值的评价工具。为了解决这一矛盾,在分析以往消噪方法的基础上,考虑到使用Hausdorff距离对图像预处理的特殊要求,提出了一种去除局部强噪声点的新方法。通过仿真实验证明,该方法比以往常用的去除噪声的方法要好,即在去除强噪声的同时,很好地保留了图像的低频轮廓、纹理以及边缘,特别是它能够更有效地排除噪声对使用Hausdorff距离的影响。
The noise generated in the actual procese of infrared images collection more or less affects the accuracy of evaluation, particularly with distance as the evaluation tool, a tool of practical value. To solve the problem, a new method based on the analysis of some former denoising method, was proposed to partly remove the strong noise. This method took into account the special requirements of using Hausdorff distance in image preprocessing. Simulation indicates that this method is better than the former ones in that it removes the noise while keeping the low frequency, the texture and the edge of the images, and that it prevents the noise from affecting the use of Hausdorff distance.
出处
《解放军理工大学学报（自然科学版）》
EI
2008年第5期540-545,共6页
Journal of PLA University of Science and Technology(Natural Science Edition)
