为了获得高保真3维图像,采用了一种针对高分辨率3维图像的自适应均值降噪算法.首先使用一种由激光器、高分辨率3维相机、直线电机和计算机等设备组成的线激光高精度3维测量实验系统对自然纹理皮革进行测量.然后针对系统测量所得的高分辨率3维自然纹理图像(每英寸点数大于1000),进行了理论分析和实验验证,取得了降噪后的高保真3维图像数据,并与传统的均值滤波、小波变换滤波的降噪效果进行对比.结果表明,该算法能自动选取最优的降噪窗口,有效地去除3维图像的噪声信息,并保留高分辨率图像丰富的边缘、细节信息,最终得到高保真的高分辨率3维自然纹理图像.该实验结果对于高分辨率图像的降噪问题是十分有帮助的.

In order to obtain high-fidelity 3-D images,an adaptive mean filtering algorithm for high resolution 3-D images was proposed.Firstly,a high-precision 3-D linear laser measuring system consisting of a laser,two high-resolution 3-D cameras,two linear motors and a computer was established to measure the texture of leather.After theoretical analysis and experimental verification of the high-resolution 3-D texture images (dots per inch>1000) collected by the measuring system,the data of high-fidelity three dimensional images after filtering were gotten.The effect of the adaptive mean filtering algorithm was compared with the effects of mean filtering method and wavelet threshold filtering method.The results show that the adaptive mean filtering algorithm can remove noise of 3-D images effectively,select the appropriate filtering window automatically,and also keep details and edge information of high resolution images.Finally,the high resolution 3-D texture images with high fidelity would be obtained.The experimental results are very helpful for denoising processing of high resolution images.