配准校正

通过腐蚀，去轮廓等操作去除图像背景，适合matlab初学者认识程序。(Corrosion, go to outline operation to remove the image background for Matlab beginners understanding of the program.)

PCNN实现降噪的不错 PCNN是很好的自动分割工具 PCNN是很好的自动分割工具(PCNN是很好的自动分割工具，)

高分辨率遥感图像道路提取算法实现，主要思路是利用道路中心点，得到道路中心线。(Road Extraction from High Resolution Images algorithm, the main idea is to use the center of the road, get the road centerline.)

本程序基于MFC，VS2010编写，是一款可以打开任意视频格式的播放器，具有打开视频（任意格式，avi，mp4, rmvb,asf,avi,mpeg等）， 具有快进，快退，暂停，播放，上一帧，下一帧，截图，拍照，快速播放慢速播放功能，同时提供图像处理功能（视频图像增强，视频图像去雾，海上目标检测功能）。(This program is based on MFC, VS2010. It is a player that can open any video format. It has open video (arbitrary format, avi, mp4, rmvb, asf, avi, mpeg, etc.). It has the functions of fast forward, fast backward, pause, playback, last frame, next frame, screenshot, photograph, fast playback and slow playback. It also provides image processing functions (video image enhancement, video image defogging, sea target detection).)

利用侧抑制原理编写的一个最基本的小程序。程序实现了初步的轮廓提取效果。可供想要入门侧抑制原理的朋友参考。(The use of lateral inhibition, a basic principle of writing a small program. Program to achieve the initial contour extraction results. Introduction to principles of lateral inhibition for want of a friend for reference.)

最小二乘影像匹配，自己2012年8月写的程序，经过测试，内有详细注释，希望对大家有用。(Least Squares Matching write the program in August 2012, has been tested, with detailed notes, and hope to be useful.)

相控阵超声成像检测，很好的一本书，从网上买的，分享给大家(Phased array ultrasonic imaging detection, a very good book, bought from the Internet and share to everyone)

个人编写的Matlab的红外图像增强程序，比较简单易懂！(Individual written Matlab infrared image enhancement procedure is relatively simple to understand!)

本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。 这次实现的算法并不是比较两个已经知道的点是否匹配，而是已知一个图形中的特征点，在另外一个图像中找到与其最匹配的点，匹配度用SAD 或者SSD 来度量。 main.m 是程序的入口，包括生成和读入实验数据，调用sad 函数和ssd 函数求匹配点，最后绘 制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现，有3 个参数 y=sad(x,image1,image2)。其中x 是代匹配的数据，image1 是图像1 数据，image2 是图像2 数据。 从理论上分析，ssd 比sad 算法要复杂一点，经过测试，在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒，SSD 用时25.291432 秒。(The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions. The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD. main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data. From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds. )

数字图像处理诸多算法源代码，图像处理的同学可以下载下来看看，适合初学者。(c++ code of digital image process )