ART_test

利用条件随机场实现的对文本的分类和识别.能在不同参数条件下实现分类(With the use of conditions to achieve the airport on the text classification and identification. Can realize different parameters under the conditions of classification)

RSIHE算法（Recursive sub-image histogram equalization）。基本原理是将图像分割为等面积的2^r部分，各部分分别进行直方图均衡。文件中包含RSIHE的matlab源代码，论文，以及输入图像(RSIHE algorithm (Recursive sub-image histogram equalization). The basic principle is to image segmentation is an area of ​ ​ 2 ^ r part, the various parts of histogram equalization. File contains RSIHE matlab source code, papers, as well as the input image)

matalabd编写的模式识别和聚类源文件，实现了常用大部分聚类方法(prepared matalabd Pattern Recognition and Clustering)

System Generator中伪彩色增强建模(Pseudocolor enhancement model in the System Generator)

本实例用到了第三方组件ICSharpCode.SharpZipLib.dll、itextsharp.dll。

图像的三种分水岭分割方法，一般分水岭分割，使用梯度的两次分水岭分割及使用梯度加掩模的三次分水岭算法(images of the three watershed segmentation method, the general watershed segmentation, gradient of the two watershed segmentation and the use of the gradient increases mask the three watershed algorithm)

一种用于用于进行图像隐写分析的算法的源代码，主要是基于最低有效位检测这一方面研究的(Used for the image of a steganalysis algorithm source code, mainly detection based on the least significant bit of research in this)

自写的一种基于局部对比增强的GVFsnake图像分割方法，参考了xu的gvf，但本方法分割效果更好。(Since the writing of a local contrast enhancement based on image segmentation method of GVFsnake reference xu the gvf, but this method is better segmentation.)

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)

说明：  sift和surf特征点提取，然后进行配准，通过ransac进行提纯(Sift and surf feature points are extracted, then registered and purified by RANSAC)