MATLAB-CODE

说明：  This is BM3D algorithm implemented according to the paper: K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Image denoising by sparse 3D transform-domain collaborative filtering,” IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, August 2007.(This is BM3D algorithm implemented according to the paper: Image denoising by sparse 3D transform-domain collaborative filtering)

指纹识别中的指纹图像预处理程序，包括有归一化，二值化，图像分割，图像增强，图像细化(Fingerprint identification fingerprint image preprocessing procedures, including normalization, binarization, image segmentation, image enhancement, image thinning)

7个不变矩的在Matlab中的实现，提供代码供大家参考。(Seven invariant moments of the realization in Matlab to provide the code for your reference.)

该程序为离焦模糊参数识别的方法,通过canny算子检测边缘，用hough变换检测直线的方法求离焦半径。(The program for the defocus blur parameter identification method by canny operator edge detection using hough transform line detection method for the defocus radius.)

GDI实例3，绘制圆形、矩形等图形

红外图像的亚像素边缘检测，检测边缘，用于图像配准。(Infrared image of the sub-pixel edge detection, edge detection for image registration.)

根据图的邻接矩阵判断图的连通性并计算图的分块数(To determine the connectivity of the graph and computing graph blocks according to the adjacency matrix)

图像处理中常用的滤波函数库，包括高斯滤波、DOOG滤波等等，很有用的Matlab实现的代码库，添加到Matlab工作路径即可使用。(The filter used in image processing library, including Gaussian filter, DOOG filtering, etc., to achieve useful Matlab code base, added to the Matlab working path can be used.)

Lee的经典的多分辨率B样条拟合方法（multi-level B-spline fitting）的VC源代码。广泛应用于图形图像处理，CAD等领域。(Lee s classic multi-resolution B-spline fitting method (multi-level B-spline fitting) of the VC source code. Widely used in graphic image processing, CAD and other fields.)

主要思想是用meanshift算法跟踪目标，拖动矩形框选择目标模板，meanshift自动跟踪 本程序的主要缺陷体现在帧差法自动识别目标，这部分功能与上一个功能独立，可用可不用，用于自动识别目标，效果不是很好，主要体现在对图像视频的要求是 背景（目标以外的所有事物）不能动(The main idea is to use meanshift algorithm to track the target and drag a rectangle to select the target template, meanshift automatic tracking The main drawback of the program is reflected in the frame difference method automatically identifies the target, which is part of the function and one function independently, may or may not, be used to automatically identify the target, the effect is not very good, mainly reflected in the requirements of the video image is the background (target All things outside) can not move)