EVM_Matlab_bin-1.1-win64

说明：  包括几种基于多项式插值的图像处理matlab代码，包括双三次插值，样条差值等(Includes several image processing based on polynomial interpolation matlab code, including double-cubic interpolation, spline difference, etc.)

说明：  基于Halcon开发的掩模 纯手工编辑(Mask editing based on Halcon)

说明：  对双目视觉处理的图像通过获取相机的内外参数后得出视差图，而后方便得到深度图等(The binocular vision processing image is obtained by obtaining the camera's internal and external parameters, and then the disparity map is obtained, and then the depth map is obtained.)

用于脸部识别时，使用基于像素和区域的图像特征核的稀疏表示的识别算法。(When used in face recognition using image recognition algorithm based on feature pixel and regional nuclear sparse representation.)

说明：  地震数据处理中的基础的地震数据读取程序，MATLAB环境下应用(Seismic Data Reading)

This program is able obtain the cemtral point of a template in an image.The program gives 4 output images performing diferent kind of filtering, and giving the center of the matchig template.

计算二维或多维循环自相关函数和自相关密度函数(Of two-dimensional or multidimensional cyclic autocorrelation function and autocorrelation function of the density)

介绍近场声全息的参考资料，其中格林函数对全息效果的影响是比较好的参考，有助于对全息的理解(Introduction nah reference materials, which affect the Green' s function of holographic effect is relatively good reference, contribute to the understanding of holography)

基于小波模极大值贝叶斯阈值算法，实现图像吐糟的功能，与其他去噪方法进行对比。(Based on wavelet modulus maxima Bayesian threshold algorithm, spit bad image features comparison with other denoising methods.)

图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。(Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the texture and structure in regions of missing image information. In order to inpaint the damaged image with both missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently restore the structure and texture information at the same time, and the visual eff)