提取图形的七阶不变矩

两个l1准则下的噪声干扰信号压缩感知重构举例，两个例子的稀疏矩阵均为DCT矩阵，而观测矩阵分别采用单位阵和随机矩阵，有详细的步骤和使用方法，适用于初步的学习压缩感知方法。(This programme supply two examples by Compressed sensing with l1 norm. The sparse matrix of two examples are all DCT matrix and the obsever matrix are unit matrix and random matrix respectively. We give the detailed usage and steps for the programme which is useful to the beginner.)

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

matlab书上第六章数值运算的几个样例习题。。。。。(the descirbtion of the matlab)

我收集的提取Zernike矩的程序，并且自己稍微改动了一下，效果还可以。(I collected from Zernike Moments procedures, and their slightly altered for a moment, the effect can be.)

说明：  图像处理算法质量评估，图像结构相似度（ssim)评价的matlab实现，并附带原始论文pdf(This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images. Please refer to the following paper: Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error measurement to structural similarity" IEEE Transactios on Image Processing, vol. 13, no. 1, Jan. 2004.)

本书主要讨论了图像的各类矩函数（几何矩、复数矩、Legendre矩、Zernike矩、小波矩等）的定义、性质和快速算法，以及它们的不变量函数。并就它在图像处理和识别，计算机视觉以及其它方面的应用作了必要的介绍。 (This book discusses the various types of image moment function (geometric moments, complex moments, Legendre moments, Zernike moments, wavelet moment, etc.) of the definition, nature and fast algorithm, and their non-variable function. On it in the image processing and recognition, computer vision, and other aspects of the application made the necessary introduction.)

MSR图像增强算法，基于MATLAB7.6，处理后的图像效果不错。(The MSR image restoring algorithm, the result is good for people studying.)

对图片预处理加入高斯噪声，各种经典边缘检测算子对图像进行边缘提取(Gaussian noise on the image pre-processing, a variety of classic edge detection operator to extract image edge)

ROA和CANNY结合的算子,图像效果还行吧(it combine the CANNY and the ROA，the result shows it was perfect)

利用互信息进行特征抽取的方法实现，能找到最具代表的特征，有效的实现了计算量的减少和可用来维数缩减(The use of mutual information feature extraction method of implementation, to find the most representative characteristics of an effective implementation of the computation of the reduction and can be used to reduce the dimension)