readwu

这是用C++实现图像立体匹配的一个完整的论文代码，主要特性是提出了一种全新的跨规模代价聚合方法，适合对于图像的立体匹配有一定基础的人学习(Cross-Scale Cost Aggregation for Stereo Matching)

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)

好东东哦，希望大家来下载，是 我们本科毕业设计论文成果，基于dct域的数字水印技术

说明：  模式识别-贝叶斯最小错误率判别一幅图像是属于人，还是属于背景。图像经过预处理。(pattern recognition- Bayesian smallest error rate discriminant image is a person, or belong to the background. After pretreatment images.)

非常好的EM算法介绍,不妨去看看.The Expectation Maximization Algorithm A short tutorial(Very good introduction EM algorithm, may wish to go and see. The Expectation Maximization AlgorithmA short tutorial)

说明：  用于图像处理的图像降噪领域，有需要的可以自己进行下载。(In the field of image noise reduction for image processing, you can download it yourself if necessary.)

傅里叶变换：采用VC++编写，实现二维图像的傅里叶变换(Fourier Transform: The VC++ prepared to achieve the two-dimensional Fourier transform of the image)

关于粒子滤波跟踪目标的MATLAB程序源代码(Particle filter to track the target on the MATLAB source code)

说明：  SVM支持向量机在图像分割中的应用，包含Matlab源代码和SVM所用函数。(The application of SVM support vector machine in image segmentation, including Matlab source code and functions used by SVM.)

说明：  图片采用3x3均值滤波，用Verilog语言描述，输入输出分别使用外同步(Pictures are filtered with 3x3 mean and described in Verilog language. Input and output are synchronized with each other.)