PSO

计算局部形状描述符梯度方向直方图（HOG），直接输入图像即可用。(Calculate the local shape descriptors gradient orientation histogram (HOG), the input image can be used directly.)

几个流行的超图匹配代码 张量，随机游动，谱的(hyergraph matching)

图像分割--用matlab实现图像的自动多阈值分割 (Image segmentation- Image by matlab automatic multi-threshold segmentation)

compressed sening image compresseion

泊松融合在某种意义上解决了图像融合的问题，但其在融合的过程中仅仅考虑了融入图像的梯度，而没有利用背景图像的梯度，因此，在使用泊松融合的过程中，需要对融入区域的标记较为准确，否则，会造成背景纹理的丢失，视觉上可以明显觉察图像融入的痕迹。因此，对公式稍作修改，在考虑前景的同时考虑背景的变化，可以得到更优的结果。(Poisson convergence in a sense solved the problem of image fusion, but it only considers the integration of image gradient in the integration process, but not the use of a background image gradient, therefore, the use of the Poisson integration process, the need for more accurate marker into the area, otherwise, it will result in the loss of background texture, image integration can clearly perceive the visual traces. Therefore, the formula slightly modified, in considering the prospect of taking into account the changes in the background, you can get better results.)

用matalab编译的，求取 车牌图像的方法，很实用下载后 导入目标图像即可(The compiler with matalab, and calculate the license plate image, the method of practical import target image after download )

说明：  基于活动轮廓模型的图割算法，实现图像的高效分割！非常好的代码。希望帮助大家！(Graph cuts based active contours which is used for image segmentation.Excellent source code!)

说明：  进行三维去高后，根据sar参数信息，将斜距转变为地距。(After performing three-dimensional height removal, the slope distance is converted to ground distance according to the sar parameter information.)

对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果(Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results)

说明：  图像处理基于harris角点特征的图像配准程序(Image processing based on the characteristics of harris corner image registration procedures)