mv

说明：  用Visual C++实现模糊图像恢复处理程序实例(Using Visual C++ fuzzy image restoration processing examples)

医学图像处理方面的一些基础算法，VC环境下编译的一个非常好的程序框架(Medical image processing, some of the basic algorithm, VC compiled under the framework of a very good program)

指纹图像因设备、图像增强处理等原因造成的纹线断裂会产生伪特征点,会对指纹识别产生负面影响。在结 合传统方法优点的同时,针对间距大、方向偏移小和间距大、方向偏移大的断裂情况,本文设计出窗口制约法和改进的 窗口制约法2 种不同的修复方法。实验结果表明,该方法使修复更加全面、完整,提高了伪特征点去除率,易于编程实 现,对细化指纹图像的断裂有很好的修复效果。(The broken ridge fingerprint image processing equipment, image enhancement and other causes will generate pseudo-feature points to be a negative impact on fingerprint identification. While combining the traditional method has the advantage, for the spacing, direction offset small spacing, direction offset large fracture situation, this design window constraints window method and the improved two kinds of constraints, different repair methods. Experimental results show the method to fix a more comprehensive and complete removal of pseudo-feature points, easy to program, well thinned fingerprint image fracture repair.)

visualc++6.0 实现图像中圆的检测(circle detection)

对视频进行基本的处理，例如载入视频，显示视频，控制播放(Basic video processing, such as loading the video, show video, control playback)

图像拼接！！此为本人的毕业设计源码，能完整远行，希望能对大家起到帮助。强烈鄙视那些为了骗取下载数而上载一些无关紧要代码甚至是编译错误一堆的卑鄙小人(Image mosaic! ! This is my graduation project source code can be a complete separation, I hope everyone can help. Strongly despise those who cheat in order to download and upload some irrelevant code compiler error or even a bunch of despicable villains)

2011年比较流行的简单快速的运动目标检测代码。(More popular in 2011, a simple and rapid moving target detection code.)

说明：  SIFT算法的区域匹配，比原有的SIFT+KD树匹配更加高效、准确。(different area SIFT algorithm which is better than the original SIFT and KD tree match.)

多基线干涉合成孔径雷达干涉条纹的获取，通过两幅单视复图像进行配准，获取干涉相位(Multi-baseline interferometric synthetic aperture radar interferometry fringes of the acquisition, through two single look complex image registration, access to intervention phase)

基于opencv的Kinect深度图像的去噪，滤波(Opencv based Kinect depth image denoising, filtering)