FSIM

最经典之做，保证别人没有上传过 实现文章 “GrabCut" Interactive Foreground Extraction using Iterated Graph Cuts 用graphcut实现图像分割，效果非常好(The most classic to do to ensure that other people do not realize uploaded article GrabCut Interactive Foreground Extraction using Iterated Graph Cuts with graphcut realize image segmentation, has very good results)

Image Edge Enhancing Coherence Filter Toolbox，各向异性非线性扩散滤波器(This toolbox will perform Anisotropic Non-Linear Diffusion filtering on a 2D gray/color or 3D image. This filtering will reduce the image noise while preserving the region edges, and also enhancing the edges by smoothing along them. This is one of the more advanced image enhancement methods available, and also contains HDCS from october 2009. The result looks like an artist painted the image, with clear brush strokes along the image edges and ridges, see screen-shot. )

说明：  通过检测二维小波变换的模极大值点可以确定图像的边缘点，利用小波变换的多尺度性用于图像的边缘检测(By detecting modulus maxima point of two-dimensional wavelet transform we can determine the image edge points, using multi-scale nature of wavelet transform in image edge detection)

一种改进的聚类算法应用到图像处理中，实现图像的边缘检测和分割，内附程序图片和论文。(An improved clustering algorithm applied to image processing, image edge detection and segmentation, containing pictures and papers proceedings.)

应用Intel® JPEG Library v1.5处理图像的例子(Using Intel® JPEG Library v1.5 to process image.)

运动目标提取算法，针对多帧图像累加后运动区域的提取(Moving object extraction algorithm for multi-frame image motion region extraction after accumulation)

混合高斯模型提取视频帧前景背景图像，经试验验证准确率比较高(Mixed gaussian model to extract video frame prospects background image)

基于暗原色先验的单一图像去雾方法.何恺明的中文原版(Single Image Haze Removal Using Dark Channel Prior。Kaiming He)

基于纹理和边缘方向特征融合的目标跟踪程序代码，是基于mean shift框架的(This paper proposes a powerful and robust local descriptor,called textureorientation descriptor(TOD). TOD consists of two components: texture and orientation. Considering that the human shape shows more short, fragmentary and vertical edges, the proposed TOD descriptor encodes the spatial information of pedestrian image. We combine the proposed TOD representation model with mean shift framework to perform pedestrian tracking. Results from experiments show the improved performance of the proposed algorithm, in the scenarios of heavy occlusions, illumination variations and similar objects interference, when compared with the other descriptors based trackers.)

关于指纹图像处理的有关论文资料，希望各位同仁多多 指教。(Fingerprint image on paper deal with the relevant information, I hope that Tongren exhibitions.)