signal

Image processing and analysis

mean shift进行图像分割的matlab代码 非常好用 可直接对灰度或者彩色图像进行分割(matlab code for image segmentation by mean shift)

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)

利用matlab实现了图像增强的功能，里面包含一些目标较新的算法，同传统方法，对学习图像增强有很好的帮助(Using matlab to achieve the image enhancement function, which contains some of the objectives of the newer algorithms, with the traditional methods of learning have very good image enhancement to help)

说明：  用于特征提取，比较传统的一个方法，应用范围广，适合初学者(For feature extraction)

说明：  图像分块处理和计算图像灰度平均值的算法，可用于路面识别预处理(Average value of image block calculation)

TV模型用于图像修复，能够实现较好的图像修复效果，是基于偏微分方程的方法(TV model for image restoration, and to achieve better image restoration effect is a method based on partial differential equations)

这是我本科的毕业设计做的关于医学图像的基于形状的图像检索。预处理用小波去噪 ，特征选用不变矩。(This is my undergraduate graduation design done on the medical images based on the shape of the image retrieval. Pretreatment with wavelet denoising, feature selection invariant moment.)

对于原始数据进行插值并抽取，从这个过程中将数据平滑化，得到理想的效果。(The original data for interpolation and extraction, data from this process will be smoothed to get the desired results.)

HBMA为基于块的分级匹配算法，是一种典型的运动估计算法，适用于特征追踪和运动估计(HBMA classification based on block matching algorithm is a typical motion estimation algorithm for feature tracking and motion estimation)