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SAR合成孔径雷达的点目标仿真报告，含matlab代码(SAR synthetic aperture radar point target simulation report, including Matlab code)

说明：  本文为图像分割源代码，把一幅在MATLAB中读入的图像分割成任意块(This article image segmentation source code, put a read into the MATLAB image is divided into arbitrary blocks)

Labwindows/CVI实现了常见的数字图形处理算法，如滤镜，正交表换 边缘检测等(Common digital graphics processing algorithms, such as filters, orthogonal change of edge detection)

本程序实现了对影像特征点自动提取，利用Morevac、Forstner、Harris3个经典算子。在此基础上利用相关系数法实现影像自动匹配，并且引入最小二乘平差，使匹配点精度有所提高。 在搜索点过程中，利用了核线影像特性，对二维影像搜索使用了爬山法启发式搜索。对大数据量影像采用影像金字塔结构处理。 1、使用GDAL库读取影片，支持TIFF、PNG、JPEG、JPG、BMP、GIF、IMG格式读取。使用GDI绘图。 2、防止大数据量绘图视图闪烁，图片显示采用双缓存技术。 3、保存视图数据为图片文件，支持TIFF、PNG、JPEG、JPG、BMP、GIF格式保存。 4、TreeCtrl控件、ListCtrl控件的基本操作。 5、MFC单文档程序视图通讯、更换视图、视图分割。(This program of image features automatic extraction point, use Morevac, Forstner, Harris3 a classic operator. Based on the correlation coefficient method using the image matching, realization and introducing least squares adjustment, the matching point to improve precision. In the search process, the use of the image characteristics of nuclear line, 2d image search using the heuristic method of climbing. For large quantity of data using image processing image pyramid structure. 1, using film, read GDAL repository support JPEG, TIFF, PNG, GIF, BMP, JPG, read IMG format. Use GDI drawing. 2 and prevent large amount of data, drawing view pictures showed adopt double caching techniques. 3, save for the image file, views data support JPEG, TIFF, JPG, PNG, GIF, BMP format. 4 and TreeCtrl controls, the basic operation ListCtrl controls. 5 and MFC single document procedure view communication, replace view, view.)

hough 检测直线 算法简单 是静态图像中检测直线的快速实现( Hough detecting )

c# 对任意网页进行截图 抓取

医学图像分割水平及方法理论书籍《Level Set Methods and Dynamic Implicit Surfaces》代码(Medical image segmentation level of theory and methodology of the book )

A MFC demo which can read, write and display images

利用matlab编程技术将灰度图像归一化到0-255范围内(Normalize the image to 0-255)

基于最大流最小割定理的图像分割,里面有一个例子，(Image segmentation based on maximum flow minimum cut theorem)