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对输入图片进行LBP特征提取，并实现LBP特征可视化( U5BF9 u8F93 u5161 u5D3 u53D3 u53E0 )

MATLAB图像处理，直方图均衡和一些基本的滤波器（包括中值滤波器）。(MATLAB image processing, histogram equalization, and some basic filters.)

对图像进行反转，这是图像传统的增强方法，是对像素点的增强。(Invert the image, which is the traditional method for enhancing an image, the pixel point is increased.)

这是一个常用的基于Fcm的图像分割源程序，希望对大家有用(This is a commonly used image segmentation based on FCm source, in the hope that useful to everybody)

基于块匹配的稳像算法，包括演示视频，非常全面，希望对大家有帮助(Stabilization based on block matching algorithms, including a demonstration video, very comprehensive, we hope to help)

指纹图像的增强，效果很好,计算指纹的频率和方向，采用Gabor的方式增强(Fingerprint image enhancement, the effect is very good, calculate the frequency and direction of fingerprints, using Gabor way to enhance)

就用利用OPENCV亚像素级角点检测，这个方法对于初学代码程序的人来说很实用(On the use of the use of sub-pixel OPENCV corner detection, this method code program for the beginner who is very practical)

用于图像处理的压缩感知的快速贝叶斯匹配追击算法(Compressed sensing image processing for rapid Bayesian matching pursuit algorithm)

VC计算机图形学原理及算法教程 VC计算机图形学入门教程(VC theory and algorithms of computer graphics computer graphics tutorial Tutorial VC)

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)