Adaptive filtering algorithm for high resolution 3-D images

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.