matlab

相位编组提取长直线的强弱文理，用于灰度图像明显的图像的处理(Marshalling phase extraction strength ARTS long straight, clear images for grayscale image processing)

图像配准powell算法的matlab实现(the matlab implemented powell algorithm)

说明：  输入多幅图像实现帧间差分实现运动目标检测(Enter the number of inter-frame difference image realize realize moving target detection)

图像融合程序，用以提取图像的高分辨率部分，实现图像的清晰化(image fusion procedure to extract high-resolution images, the images clearer)

散点图数据输入，绘制，输出整个过程， 对于文章出图很有帮助。(Scatter plot data entry, rendering, output the entire process, the article showing helpful.)

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)

很好的流形学习，处理高维数据，降维操作，里面含有LLE，PCA，Dijstra,Iosmap等等(Good manifold learning, processing high dimensional data, dimensionality reduction operations, including LLE, PCA, Dijstra, Iosmap, etc.)

指针仪表自动读数代码和工程halcon11源代码 软件，已经调试直接可以运行。压缩包中包含两张处理图像，便于学习改良。

最小二乘影像匹配，自己2012年8月写的程序，经过测试，内有详细注释，希望对大家有用。(Least Squares Matching write the program in August 2012, has been tested, with detailed notes, and hope to be useful.)

在rgb颜色空间实现的单高斯模型，用于目标检测(In rgb color space to achieve a single-Gaussian model for target detection)