OMP

说明：   vc代码,用于图像直方图均衡（以原始girl图像为测试图像） (vc code, for image histogram equalization (in the original girl image for the test images))

该m文件是用来仿真合成孔径雷达SAR的斑马图，即菱形图的，是本人自己设计的，可用。(M file is used to simulate the synthetic aperture radar SAR zebra figure, namely diamond chart, is my own design, is available.)

提取指纹图象的 方向场还有ROI。喜欢就下。还可以。(Extraction of fingerprint orientation field there is image ROI. Like on the next. Can also be.)

将avi视频图像转换成一帧帧的图像，并将帧图像保存到下级目录中。(Avi video images will be converted into an image frame, and frame images saved to the lower directory.)

PIVlab是一个开源的粒子图像测速（PIV）软件。它不仅能够通过图像对计算出速度，而且能够得到、显示和导出多个参数的流动模式。通过一个友好的图形用户界面（GUI），使得的PIV技术分析和数据后处理更加快速、高效。(PIVlab is an open-source particle image velocimetry (PIV) software. It can not only calculate the speed through the image pairs, but also can get, display and export the flow patterns of multiple parameters. Through a friendly graphical user interface (GUI), the PIV technology analysis and data post-processing are faster and more efficient.)

采用多成分分析算法进行图像分解，并对该算法进行评价(MCA picture dissolution)

最小二乘图像影像匹配方法，一个很详细的源码例程，有过程有结果，希望对初学者有帮助。高斯解方程，以及最小二乘匹配，里面都很详细。(Squares image image matching method, a very detailed source code routines, the outcome of the process, I hope to help beginners. Gaussian solution of equations, and least squares matching, which is very detailed.)

Arnold变换和Logistic混沌映射的数字图像加密算法MATLAB源代码。将第一行图片路径换位要加密的图片运行即可。(Digital Image Encrypti Algorithm based on Arnold Tranform and Logistic Chaotic Maps)

是零树小波编码算法的改进，SPECK编码算法较EZW编码算法有着更大的优势(Is zero tree wavelet coding algorithm improved SPECK coding algorithm has more advantages than EZW coding algorithm )

图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)