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说明：  用delphi编程实现图像的颜色拾取，这是一个很好的图像处理程序(Delphi programming with the color of the image pick-up, this is a very good image processing program)

说明：  实现了双线性插值、三次样条插值、B样条插值和最大阶次优化差值等传统多项式图像插值办法(Traditional polynomial image interpolation methods such as bilinear interpolation, cubic spline interpolation, B spline interpolation and maximum order optimization difference are realized.)

该算法用于求解线性病态逆问题，同时该算法已经过实际验证，重建结果较好，希望对大家有所参考。(The algorithm for solving linear pathological inverse problem, at the same time, the algorithm was validated through actual and reconstruction results are good, hope to be of reference.)

灰度图像的属性计算：利用bwlabel和regionprops函数对度量二值图像中目标对象的属性。(Attribute gray image: Using bwlabel and regionprops function measure binary image of the target object attributes.)

基于分块的人脸图像超分辨率学习算法实验平台，利用学习到的训练集图像信息对低分辨率图像超分辨率，并可以查看超分辨率后的图像块匹配结果（用鼠标双击结果显示窗口中的实验图像），可以设置实验参数。(Block-based face image super-resolution algorithm for the experimental platform to learn, learning to use the training set of low-resolution image information super-resolution images and can view the image super-resolution block-matching results (double-click with the mouse results display window of the experimental images), the experimental parameters can be set.)

对比CPU和GPU加速，pcl::cuda的使用教程，利用随机采样一致(RANSAC)去除地平面等例子。(Compare CPU and GPU acceleration, pcl::cuda tutorial, using random sampling consistency (RANSAC) to remove ground plane and other examples.)

用基于稀疏表示和KSVD字典学习去噪方法在对数域对SAR图像抑斑，本方法相对于一些经典的SAR图像抑斑方法，抑斑效果大大提高。(Based on the sparse representation and KSVD dictionary learning denoising method in the logarithmic domain，we despeckle SAR image, compared with some of the classic SAR image speckle suppression method, this method is much more effective.)

是用matlab 实现的cox经典水印算法包括水印的嵌入、提取等(using Matlab realized cox classic watermarking algorithm including the watermark embedding and extraction, etc.)

简单的bmp图象处理程序，将一个bmp文件中的直线和园改变颜色(Bmp simple image processing procedures, will be a bmp file in a straight line and Park change color)

K均值算法实现图像的分割，分割效果可以达到预期的效果(K-means algorithm to achieve image segmentation, segmentation results can be achieved the desired results)