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Itti模型的显著图提取，使用matlab编写，很好的代码，可供参考学习(Itti model saliency map extraction, the use of matlab prepared very well the code)

在一个具有几个顶点的连通图G中，如果存在子图G 包含G中所有顶点和一部分边，且不形成回路，则称G 为图G的生成树，代价最小生成树则称为最小生成树。 (Has several vertices in a connected graph G, if there subgraph G ' contains all vertices of G and part of the side, and does not form a loop, called G' is a spanning tree of G, the minimum cost spanning tree is called minimum spanning tree.)

用来将一个指纹图片切成指定像素大小的片段，并将计算他的方向场和系数(Used to cut a fingerprint image into the specified pixel size pieces, and calculates the direction of the field and the coefficient )

利用相位相关法实现了图像的匹配，这种方法的优点是提取速度快，方法简单，运算量少。(Using the phase correlation method to realize the image matching, the advantage of this method is the extraction method is simple, fast, less computation.)

进一步讨论怎么样进行虹膜眼睛的位置确认，区域生长法确定内圆轮廓(To further discuss how to confirm the position of the iris eye and determine the inner circle contour by region growth method)

用MATLAB编写的一些经典的关于图像融合的程序(Some classic programs for image fusion written in MATLAB)

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)

该代码实现了sift特征提取，特征点自动匹配，效率较高(The code realizes sift registration)

说明：  织物疵点检测，有GUI界面，可自动识别疵点并分类(Fabric defect detection, GUI interface, automatic defect identification and classification)

图像的二值化处理程序，用于Visual c++中(Binary image processing program for Visual c++ in)