PCA

说明：  实现图像重建功能，里面包含三种算法，LBP、LandWeber、共轭梯度算法(Realizes image reconstruction, which contains three algorithms, LBP, Land Weber, conjugate gradient algorithm)

【实例简介】图片转PDF

数字水印的图像处理方法，很好，做图像水印的同行可以参考(Digital watermark image processing methods, well, do their counterparts in the image watermark can refer to the)

这是基于动态规划的立体匹配的代码，是当前立体匹配中很好的一种实现方式(This is the stereo matching based on dynamic programming code that is currently in a good stereo matching method to implement)

pso粒子群优化算法程序 加了实现模糊功能的新算法,(Pso (particle swarm optimization algorithm program added a new algorithm of fuzzy functions,)

实现SURF特征点描述子算法，并使用Oxford Dataset图像自动进行精度评价(SURF feature descriptor and matching precision evaluation)

说明：  最佳接缝法纹理合成的MATLAB代码，有图像例子，有网页说明，具体算法参照文献：Image Quilting for Texture Synthesis and Transfer(Texture synthesis method the best joints of the MATLAB code, there are examples of images, there are web pages that refer to the specific algorithm literature: Image Quilting for Texture Synthesis and Transfer)

基于matlab的进行鸡蛋形状特征提取的程序，能提取鸡蛋裂缝区域的形状特征(Matlab based on the conduct of an egg shape feature extraction procedure can extract the shape of an egg cracks in the regional characteristics of)

Image Filtering RGB Spatial Wiener Direct Inverse Discrete Fourier Transform DFT Lucy Richardson Median Laplacian (Image Filtering RGB Direct Spatial Wiener Inverse Discrete Fourier Transform DFT Lucy Ri chardson Median Laplacian)

本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章～第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章～第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章～第12章，是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。 本书附带的光盘给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。 本书讲解深入浅出，实例程序丰富，注重理论与实践相结合。本书可作为计算机应用、自动化、图像处理与模式识别、机电一体化专业的高年级本科生或研究生的参考书，也可供从事图像处理与识别的研究人员和工程技术人员阅读参考。(This book introduces the basic principles of image processing and recognition of the typical methods and practical skills . The book is divided into 12 chapters , Chapter 1- Chapter 6 is the basis of the content of image processing and recognition , including images scientific overview , MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition Chapter 7- Section Chapter 10 is a project example image processing and recognition , covering the medical image processing, character recognition and self- guided trolley path recognition example , the combination of theory and algorithms, for a lot of MATLAB code procedures to help readers learn how to use MATLAB language fast simulation , debugging and estimation methods algorithm. Chapter 11- Chapter 12 , are two examples of highly integrated , namely Visual C++ implementation based on neural network character recognition system and a license plate positioning system. The book)