Texture_Synthesis_Using_Image_Quilting

在linux环境下，实用c++编写的有关实用mean shift进行视频跟踪，视频分割的很好的程序，运行良好……(Practical mean shift in the linux environment, practical C++ written in the video track, video segmentation procedures, good running ...)

提取图像的lbp纹理特征，然后进行向量表示( Lbp extracted texture features of the image, and then vector representation)

基于形态学的滤波算法，tophat算法的matlab源代码即图片(Filtering algorithm based on morphology, tophat algorithm matlab source code for the image)

这个实例就像一个魔镜一样，能把原始图像照出各种变换效果,是基于MFC的多文档应用程序(This example is like a mirror,which can convert original image according to a variety of effects)

图像处理c源码_功能是打开一幅位图_并显示在屏幕上(_ C source image processing function is to open a bitmap _ and displayed on the screen)

说明：  对图像进行灰度处理，乘除处理法处理，加法处理，减法处理(Gray scale, multiplication and division of image)

rgb to HSV，很有用，调试成功，可以应用(rgb to HSV，#include "stdafx.h" #include <iostream.h> void main(float R, float G, float B, float& H, float& S, float&V) { // r,g,b values are from 0 to 1 // h = [0,360], s = [0,1], v = [0,1] // if s == 0, then h =-1 (undefined) float min, max, delta,tmp tmp = R>G?G:R min = tmp>B?B:tmp tmp = R>G?R:G max = tmp>B?tmp:B V = max // v delta = max- min if( max != 0 ) S = delta/max // s else { // r = g = b = 0 // s = 0, v is undefined S = 0 H = 0 return } if (delta == 0){ H = 0 return } else if(R == max){ if (G >= B) H = (G- B)/delta // between yellow & magenta else H = (G- B)/delta+ 6 } else if( G == max ) H = 2+ ( B- R )/delta // between cyan & yellow else if (B == ma)

多类图像特征结合上下文信息进行目标识别（分类、分割）(Many types of image features combined with context information for target identification (classification, segmentation))

MATLAB编写的角点检测程序，用于对目标的检测和稳定的跟踪。很适合对于运动目标的精确跟踪。(Corner detection procedures written in MATLAB for target detection and tracking. Very suitable for the accurate tracking of moving targets.)

SVM 用于基于块划分特征提取的图像分类源码(SVM for feature extraction block-based image classification into source)