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程序为实现RANSAC算法，通过阅读该程序后，对学习RANSAC非常有帮助.(Procedures for the realization of RANSAC algorithm, by reading the program after learning RANSAC very helpful.)

说明：  形态学方法区域分割，利用区域生长算法，实现区域分割(Morphological method for region segmentation and region growing algorithm for region segmentation)

图片边缘检测滤镜，浮雕， 反选色去色黑白化多功能代码

本程序集合了互信息配准，PV差值，powell算法，基于小波变换的图像融合的一整套算法。只需要在GUI界面输入两幅图像，即可自动完成图像的配准融合。程序包含Matlab源代码。用Matlab打开imagefusion.m，即会弹出gui界面。融合前要输入参考和浮动图像。图像要求像素的 长＊宽 一样。否则会报错。程序只能处理灰度图像，彩色图像也会转化成灰度图像处理。程序代码已经有详细的注释，方便读者理解。(The procedures set of mutual information, PV difference, powell algorithm, based on wavelet transform image fusion set of algorithms. Only need to enter the two images in the GUI interface, you can automatically complete the image registration fusion. Program contains Matlab source code. Using Matlab open imagefusion.m, gui interface will pop up. Fusion before the input reference and floating images. Image requires the same pixel length* width. Otherwise incorrect. Can only handle grayscale images, color images into gray image processing also. Program code has detailed notes, to facilitate understanding.)

基于meanshift/camshift的视频运动目标跟踪实现，通过鼠标手动选择跟踪目标。基于HSV空间模型，可手动调节H S V的阈值，显示前景、背景、反响投影图。开发工具是VS2008、OPENCV.(Based meanshift/camshift video moving target tracking achieved manually using the mouse to select the target track. HSV space model, you can manually adjust the threshold HSV, showing foreground, background, reaction projection. Development tools are VS2008, OPENCV)

用matlab编写的多边形画法及填充算法。(yong matlab bian xie de duo bian xing hua fa ji tian chong suan fa . )

样条函数用于图像放大；可放大任意倍数；五次样条函数的构造 (five splines function)

实现基于迭代反投影算法的超分辨率重建，对于没有噪声的情况有较好的效果。(Iterative Back Projection super-resolution.)

二维相位展开算法 引导相位展开方法相质量运行QualityGuidedUnwrap2D的。 运行戈尔茨坦枝剪相位展开方法GoldsteinUnwrap2D。 （3D实施质量的制导方法，可根据要求提供）(2D PHASE UNWRAPPING ALGORITHMS Run QualityGuidedUnwrap2D for the phase quality guided phase unwrapping method. Run GoldsteinUnwrap2D for Goldstein s branch cut phase unwrapping method. (3D implementation of the quality guided method available on request))

This is an implementation of a ACCV 2010 paper, Exploiting Self-Similarities for Single Frame Super-Resolution.