应有尽有，图片改变位置，锐化，图像的变换

关于图象处理的一个开发包,希望对大家有帮助-image processing on a development kits, we hope to help

利用DK+Handel-C工具实现SIFT算法的前期预处理功能(高斯DOG图像序列生成)的源代码。 DK+Handel-C工具能直接把基于C语言的设计转变为优化的HDL(可以实现：C到VHDL、C到Verilog、C到EDIF等的自动生成)，进而通过FPGA实现。从而保证了各种复杂的高难算法在工程应用的实时性，为许多复杂算法具体工程实现提供了重要技术手段。 源代码采用Handel-C语言编程(Handel-C由C/C++演化而来)，在DK环境中运行，可以自动实现C到VHDL、C到Verilog、C到EDIF等转换。 输入图像为source.dat文件，输出为dest.dat，改变不同参数，可以得到多个dest.dat文件，进而可以利用matlab编程显示出高斯DOG图像序列，如GauSmooth.bmp文件所示。 如果没有DK运行环境，可利用记事本查看源代码(.hcc)，希望对相关人员能有一定的参考作用。 -err

（1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 -(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.

VC++实现的关于人脸检测的代码.很实用。-VC++ to achieve the face detection code. Very practical.

简单的图像处理：图像的读取与保存，初学者十分实用-A simple image processing: Image read and preservation, is very useful for beginners

根据网址http://www.caip.rutgers.edu/riul/research/code.html 提供的代码，对Meanshift图像分割进行了封装实现，提供了Matlab和C两种调用接口。-According to Web site http://www.caip.rutgers.edu/riul/research/code.html the code provided on the packaging Meanshift image segmentation was achieved, providing two kinds of Matlab and C Call Interface.

图像匹配方法综述,pdf文件，刚开始学习图像匹配的可以参考，快速了解常见匹配算法-Image Matching Methods, pdf file, just started learning image matching can refer to quickly understand the common matching algorithm

对 图像 进行垂直镜像 处理 的源代码-right vertical mirror images of the source code

呵呵，本人目前没有编程序，以后会传的。现在先给大家分享一些资料-Ha ha, I is not programmed, it will spread. Now give some information to share with you

摘　要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不 适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并, 对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的 舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。-Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2 ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2 pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3 b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s c