reticorr1

本书主要讲述如何使用Visual C++进行数字图像处理。全书对常用的数字图像处理算法进行了介绍。(This book focuses on how to use Visual C++ digital image processing. The book is commonly used digital image processing algorithms were introduced.)

稀疏矩阵的实例，讲述如何用稀疏矩阵进行实际的编程。本例是以超市购物为实际背景。(Examples of sparse matrix)

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)

用VC实现Canny算子提取图像边缘，提高图像质量(Using VC realize Canny operator extracts image edge to improving image quality.)

基于提升算法的53小波matlab算法，简单，易于初学者学习图像处理。(On the basis of promoting the algorithm and wavelet matlab algorithm, simple, easy to beginners learning image processing.)

目标分类（流形学习slle+支持向量机svm）(Target classification (manifold learning slle+ support vector machine svm))

图像仿射匹配的经典文章，适合深度学习仿射匹配的研究生(Image the affine matching the classic article, suitable depth learning graduate affine matching)

图像边沿提取，程序简单，适合图像处理初学者。(Image edge extraction, the procedure is simple, suitable for image processing for beginners.)

经过二维混沌序列构成的相位板的双随机相位系统再经过菲涅尔变换后得到的加密解密(Encryption and decryption after Fresnel transformation of the double-random phase system of a phase plate composed of two-dimensional chaotic sequence)

自动前背景分割，基于超像素、形状和外观前验概率及图切割(A novel foreground/background segmentation algorithm that attempts to segment the interesting objects from the rest of the image.The model includes a geometric prior and an appearance prior, whose parameters are learnt on the fly from images that are similar to the query image. It uses graphcut based energy minimization to enforce spatial coherence on the model’s output.)