canny边缘提取算法的VC6++与matlab7的混合编程的algorithm实现

程序实现图像灰度化，设置动态阈值图像增强-Program image, and set the dynamic threshold image enhancement

用opencv实现对图像的极坐标转换，logpolor-Opencv realize with the polar coordinates of the image conversion, logpolor

基于小波的人脸识别算法的实现。这是我们研究时写的代码，实际应用时可根据自己的需要做适当的调整改变。-Face recognition based on wavelet algorithm implementation. This is our study writing code, the actual application can be based on their own needs appropriate adjustments to change.

FaceDetector is a demo for an efficient face candidates selector proposed for face detection tasks in still gray-level images

在图像模板匹配问题中,基于像素灰度值的相关算法尽管已经十分普遍,并得到广泛的应用,但目前此类算法都还存在有时间复杂度高、对图像亮度与尺寸变化敏感等缺点.为了克服这些缺点,提出一种新的基于图像灰度值的编码表示方法.这种方法将图像分割为一定大小的方块(称为R-块),计算每个R-块图像的总灰度值,并根据它与相邻R-块灰度值的排序关系进行编码.然后通过各个R-块编码值的比较,实现图像与模板的匹配.新算法中各个R-块编码的计算十分简单 匹配过程只要对编码值进行相等比较,而且可以采用快速的比较算法.新算法对像素灰度的变化与噪声具有鲁棒性,其时间复杂度是O(M2log(N)).实验结果表明,新算法比现有的灰度相关算法的计算时间快了两个数量级.-err

几个程序，Wallis变换，DCT变换，形态学操作-several procedures, Wallis transform, DCT, morphological operations

自适应遗传算法源matlab程序，用到了G-S正交化分解,希望对大家有用。-aAdaptive genetic algorithm source code by Matlab, used in the G-S orthogonal decomposition.

速度非常块，效果接近blsgsm。堪称去噪的又一突破。 OWT SURE-LET SOFTWARE FOR MATLAB ******************************** Florian Luisier, Thierry Blu and Michael Unser Biomedical Imaging group Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland. March 2007 This software implements the algorithm described in: [1] F. Luisier, T. Blu, M. Unser, "A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding," IEEE Transactions on Image Processing, vol. 16, no. 3, pp. 593-606, March 2007. -Very block, the effect close to blsgsm. Denoising can be another breakthrough. OWT SURE-LET SOFTWARE FOR MATLAB******************************** Florian Luisier, Thierry Blu and Michael UnserBiomedical Imaging group Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland.March 2007This software implements the algorithm described in: [1] F. Luisier, T. Blu, M. Unser,

主要是关于彩色图像边界提取的源代码。里面包含有待处理的图片以及所有的源代码，即M文件。-Mainly on the color image edge extraction of the source code. Which contains the picture to be addressed, as well as all the source code, that is, M documents.

generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point.-generates putative matches between previ ously detected feature points in two images by l ooking for points that are maximally correlate d with each other within windows surrounding ea ch point.