图像处理源码，预处理，边缘检测，最短距离检测，膨胀处理等等。...

艾海舟的《数字图像处理》的配套程序，不可多得啊-Ai Haizhou

用matlab编写的消除周期噪声的程序,附有实验图片.-using Matlab the elimination cycle noise procedures, experiment with pictures.

较简易的视频目标跟踪算法，有需要的朋友可参考-Than simple video target tracking algorithm, there is a need to refer to a friend

一个不错的KL变换源程序，可以看看，学习并且交流-KL transform a good source, you can see, learning and sharing

第四章 MATLAB 图形对象操作 4.1 图形对象的属性 4.2 图形对象句柄的获取 4.2.1 对象创建时获取 4.2.2 层次关系来获取 4.2.3 当前对象的获取 4.2.4 根据对象属性值的获取 4.3 图形对象句柄的删除与判断 4.3.1 句柄的删除 4.3.2 句柄的判断 4.4 图形对象属性值的获取与设置 4.4.1 图形对象属性值的设置 4.4.2 图形对象属性值的获取 4.4.3 用户缺省值的操作 4.5 图形对象的其它操作 4.5.1 figflag 函数 4.5.2 findfigs 函数 4.5.3 copyobj 函数 4.5.4 capture 函数 4.5.5 refresh 函数 4.5.6 saveas 函数 4.5.7 hgload 函数和 hgsave 函数 4.5.8 newplot 函数 -Chapter IV of MATLAB graphic objects to operate the properties of graphic object 4.1 graphic object handle 4.2 Access 4.2.1 object created when the relationship between the level of access to 4.2.2 to get 4.2.3 to obtain the current object under the object attribute value 4.2.4 Access 4.3 graphic object with the judge handles delete delete 4.3.1 handles 4.4 judgment 4.3.2 Handle Graphics object attribute values to obtain and set the target attribute value 4.4.1 graphics settings 4.4.2 graphic object attribute values to obtain 4.4 .3 user operation 4.5 Defa

curvelet变换贝叶斯估计方法，用于估计含噪声图像的噪声参数。再对图像进行去噪处理-curvelet transform Bayesian estimation methods used to estimate the image noise with noise parameters. Re-image de-noising processing

实现多边形的种子及扫描线的填充算法,同时实现画圆 、直线的功能-To realize Polygon fill and Ellipse 、Line

/* 程序名称：laplace.c 功能：从摄像头或者AVI文件中得到视频流，对视频流进行边缘检测，并输出结果。 */-/* Program Name: laplace.c functions: from camera or AVI file to be video streaming, video stream on the edge detection, and output results.* /

此文件包含一个实现灰度化彩色图像的工程，也可恢复灰度化以后的图像成为原来的图像-This file contains a gray realize color images of the works, but also to resume after the gray-scale images of the original image

OTSU 算法可以说是自适应计算单阈值（用来转换灰度图像为二值图像）的简单高效方法。算法对输入的灰度图像的直方图进行分析，将直方图分成两个部分，使得两部分之间的距离最大。划分点就是求得的阈值。-Otsu algorithm can be said to be adaptive to calculate the single threshold (for converting images to gray scale image 2) simple Efficient methods. Algorithm for the importation of gray image histogram analysis of histogram is divided into two parts. makes two of the distance between the largest. Demarcation point out the threshold.