getOrientMap

说明：  图像特征提取，有SIFT、BOW、VLAD、LBP、HOG、FishVector、gist、Metric、colorhist。(Image feature extraction, including SIFT, BOW, VLAD, LBP, HOG, FishVector, gist, Metric, colorhist.)

边沿检测轮廓跟踪,在图像处理中非常重要的边缘检测轮廓跟踪算法。(Edge detection contour tracking, image processing in a very important edge detection contour tracking algorithm.)

一种精确地二维图像配准方法，实现亚像素的配准。(An accurate two-dimensional image registration method to achieve sub-pixel registration.)

读取与显示JPG等格式图像文件，Visual C++编程技巧精选，很好的参考资料。(Read and display JPG format image files, Visual C++ programming skills selected, a good reference.)

说明：  带颜色恢复的MSR代码，可直接在MATLAB上调用。(MSR code with color recovery can be called directly on MATLAB.)

基于HDevelop的形状匹配算法参数的优化研究(The shape matching algorithm based on HDevelop Parameter Optimization)

国外网站上找到的一个图像拼接程序，将三张图片拼接为一张。 大致方法为Haaris找角点，粗匹配，RANSAC精匹配。 有详细的注释，附带一篇代码说明文档，非常适合初学者学习研究(Foreign web sites to find a image stitching procedure, three picture mosaic as one. Roughly method for Haaris to find a corner, coarse matching, the RANSAC precise matching. Detailed notes, with a code documentation, very suitable for beginners to learn)

基于matlab的分水岭算法在处理粘连细胞图像分割的应用(watershed for digital image prosessing )

人脸检测 通过肤色建立模型，和计算欧拉数开运算等一系列处理可以检测出同一张图片中的多个人脸！效果不错哦(face detection through color model building, and calculation of Euler number opened a series of processing operations can be detected with a picture of the personal face! Oh, good results)

编程实现二维8*8图像块的DFT，DCT变换 输入一副RGB图像，将其转化为YCbCr颜色空间，然后对Y分量做分块DFT变换，保存为灰度图像，统计计算时间 编程实现8*8块DCT变换,然后分别显示，当使用64个DCT系数里面的一些系数进行重构，比较其质量；同时熟悉采用FFT来实现DCT变换的思想，并显示2维8*8DCT变换的基函数图像(Programming the DFT, DCT transform of two dimensional 8*8 image block Input a pair of RGB images, transform it into YCbCr color space, then divide the Y component into block DFT transform, save as gray image, and calculate the calculation time The 8*8 block DCT transform is implemented by programming, and then it is shown that when using some coefficients in 64 DCT coefficients, the quality is reconstructed. Meanwhile, the idea of DCT transformation is familiar with FFT, and the base function image of the 2 dimensional 8*8DCT transform is displayed.)