Visual C MATLAB image processing and recognition of practical cases selected ima...

区域生长C源代码，可以用于图像处理中的区域分割和区域标记。-Regional Growth C source code, image processing can be used for the regional division and regional markings.

模式识别和智能计算的相关软件。注意：这并不是源代码，而是一个软件。但可以了解图像处理的效果。-Pattern recognition and intelligent computing related software. Note: This is not the source code, but a software. But you can understand the image processing results.

1.了解二值形态学的基本运算 2.掌握基本形态学运算的实现 3.了解形态操作的应用 -1. Understand the morphology of the value of two basic operations 2. Master basic morphological operations realization of the three. Understand the morphology operation Application

camera calibration with the method of zhangzhengyou

本程序用来实现小波插值与小波构造的功能的-the procedures used to achieve wavelet interpolation and wavelet construction of the function of the

几个比较基础的图像处理算法程序，对初学者很有用。-Basis of comparison of several image processing algorithms procedures, useful for beginners.

进行图像处理，来进行两种动物的变换。用程序代码来给出变换-For image processing, to transform the two animals. Using program code to transform given

MATLAB 编写的两种将灰度图二值化（多值亦可）的源程序，并付word说明。-it contains two methods which can change gray image to binary image (or multivalue image )in segments.

人脸检测综述 -Face Detection Face Detection Review Summary

Tracking a moving object through several frames, provided changes from frame to frame are on the order of +-(10 + "X Range") pixels in the X direction and +-(10 + "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.-Tracking a moving object through several frames, provided changes from frame to frame are on the order of+-(10+ "X Range") pixels in the X direction and+-(10+ "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.