pca

说明：  利用算数编码基本原理及其实现步骤，通过MATLAB实现算数编码。(Using the basic principle of arithmetic coding and its implementation steps, arithmetic coding is realized by MATLAB.)

小波消噪 私家珍藏，互联网上其他地方是找不到的(Wavelet Denoising)

非常适合计算机视觉方面的研究使用,包括四元数的各种计算,算法优化非常好，几乎没有循环。( Very suitable for the study using computer vision, Including quaternion various calculations, Algorithm optimization is very good, almost no circulation.)

图像质量评价，熵、平均梯度、边缘强度、方差等(Image quality evaluation, entropy, average gradient, edge strength, variance, etc.)

乳腺X线图像增强质量评价的ＭＡＴＬＡＢ程序，这里使用对比度和ＤＳＭ两种评价方法对乳腺Ｘ线图像增强方法的优劣做一个客观的评价。(Breast X-ray image enhancement the quality assessment of the MATLAB program, where the use of contrast and DSM two evaluation methods to make an objective assessment of the pros and cons of breast X-ray image enhancement method.)

自己编写的粒子滤波程序，请用户自己添加视频测试(Their own procedures for the preparation of the particle filter, please add the user' s own Video Test)

边缘检测法和阈值分割法，是图像分割技术应用中两项重要的方法。本文介绍了图像边缘检测和阈值分割的一般原理、典型算法以及研究现状。本文针对边缘检测算子和几种阈值分割技术进行了详细讨论。针对火柴根数统计和钢筋根数统计两个实验，在详细分析检测原理的基础上，编写了相应的实验并给出了实验结果。(Edge detection and thresholding method, image segmentation is an important technology in two ways. This article describes the general principles of image edge detection and thresholding, the typical algorithms and research status. In this paper, several edge detection operator and thresholding techniques are discussed in detail. Statistics for the number of matches and reinforced the number two experimental statistics, based on a detailed analysis of the detection principle, write the corresponding experimental and experimental results are given.)

源码包括了常用的图像处理方法，代码详细，适合初学者(Source code, including the commonly used image processing method, the code in detail, suitable for beginners)

本程序是基于小波包的图像分割，内附有程序运行的图像(This procedure is based on the wavelet packet image segmentation, containing the procedures for running the image)

说明：  “求RGB转HSI空间小程序.m”为主函数调用rgb2hsi.m，由于matlab没有自带这个函数，所以自编了一个，用于进行阴影去除。( Seeking RGB to HSI space program. M the main function call rgb2hsi.m, as a result of matlab does not own this function, so a self-compiled, used for shadow removal.)