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基于kscd算法的合成孔径雷达图像压缩。(Based on kscd algorithm synthetic aperture radar (SAR) image compression.)

经典的KSVD图像字典学习，matlab 代码，有注释，亲测可用(The classic KSVD image dictionary learning, matlab code, include notes, test available)

快速将图片裁剪为电脑壁纸和ipad壁纸尺寸，带预览(To cut pictures as PC or Ipad size conveniently)

ostu二值化算法vc实现，基于MIL图像处理软件包将图像解析，通过ostu求取二值化阈值，实现二值化算法(ostu binarization algorithm to achieve vc, MIL image processing software package based on the image resolution, strike through ostu binarization threshold binarization algorithm to achieve)

用所写算子进行边缘检测，对matlab自身图片进行分析，其中的suanzi.m是自定义的边缘检测算子(operator with written for edge detection, right Matlab own photo analysis suanzi.m which is the definition of edge detection operator)

实现图像边缘的傅里叶描述子，可用于边缘检测，形状分析。(Matlab achieve image edge of the Fourier descriptors, can be used for edge detection, shape analysis.)

基于数字图像处理，实现一个公路交通标志（限速）分割和识别的仿真系统。要求系统具有界面并实现以下功能： 1）读入交通标志图像； 2）预处理及交通标志定位； 3）多种图像分割功能； 4）形态学滤波等功能； 5）对标志中的数字进行识别。(Based on digital image processing, a road traffic sign (speed limit) segmentation and recognition of the simulation system. Interface and require a system with the following functions: 1) read the traffic sign 2) pre-processing and traffic signs positioning 3) a variety of image segmentation functions 4) morphological filtering and other functions 5) to mark the numbers Identification.)

主要功能库存管理系统主要由1 货物管理2 基本档案3 查询统计4 系统维护5 帮助等模块组成进入该系统后，用户可以对系统中的一些基本信息进行添加、修改和删除等操作。另外，如果是管理员登录，还可以对用户的权限、用户名和密码进行修改。

说明：  增广拉格朗日乘子法ALM算法是机器学习中十分常用且有效的一种优化算法，经常用于低秩和稀疏问题的优化求解中，这个包是增广拉格朗日乘子法的matlab代码(ALM algorithm of augmented Lagrange multiplier method is a very common and effective optimization algorithm in machine learning. It is often used in the optimization of low rank and sparse problems. This package is the matlab code of augmented Lagrange multiplier method)

Retinex算法对较暗区域的图像处 理有明显效果,改进的Retinex方法则是基于经典Retinex,对具有较高亮度的遥感图像通过图像变 换方法达到去除模糊的目的。 (Retinex algorithm for image processing on the dark region was effective to improve the Retinex method is based on the classic Retinex, on remote sensing images with high brightness achieved by an image transformation method aims to remove ambiguity.)