clahe

自己编写图像旋转； （1）可以任意设定旋转中心； （2）旋转通过坐标矩阵和旋转矩阵一步到位，得出旋转之后的对于坐标矩阵；（myrotate和myrotate1功能一样，后者只是在前者基础上，将旋转矩阵和平移矩阵集成到一起了）； （3）自带构造测试矩阵，可以直接运行；(rotate img by myself all center )

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)

自己编写的广义霍夫变换，里面有测试图片，可以作为学习霍夫变换的入门(I have written a generalized Hough transform, there are test images, the Hough transform can be started as a learning)

里面有注释，还有sift和surf的比较(There are notes, there are more sift and surf the)

本程序可以使用图像处理算法对图片进行处理，对于一个含有各种物体的图片，如米粒，可以计算物体的个数。使用前请配置好opencv环境。希望对大家学习图像处理和opencv有所帮助...(This procedure can use the image processing algorithm for processing images for a picture with a variety of objects, such as a grain of rice, can calculate the number of objects. Configured before use opencv environment. We would like to learn opencv image processing and help ...)

介绍了混合高斯背景建模法提取运动目标的过程，自己写的，比较好理解，付视频一个，用自己的视频也可以(Describes the process of Gaussian mixture background modeling method to extract moving target, write your own, is better understood, paid a video, you can use your own videos)

实现单尺度retinex算法，用于图像的对比度增强，对低能见度图像处理效果较好。(Retinex single-scale algorithm for image contrast enhancement, image processing on low visibility is better.)

说明：  图像增强算法，包括灰度线性变换、灰度非线性变换、直方图均衡化，掌握基于MATLAB的各个算法的图像增强的实现。(Image enhancement algorithms, including gray linear transformation, gray non-linear transformation, histogram equalization, master the realization of image enhancement based on MATLAB.)

Split Bregman算法 各向同性，各向异性 图像去噪(Split Bregman algorithm TV model image denoising)

hausdorff距离，用于图像处理中比较两幅图像的差异的方法。其鲁棒性较好。(hausdorff distance, for the image processing of the images compared two different methods. Its robustness better.)