lvbochaosheng

一篇关于总结了行为识别各种资源的论文，涵盖了通常的数据集、兴趣点检测，特征提取的方法以及识别检测的算法(A paper that summarizes the various resources of behavior recognition, covering the normal data set, the interest point detection, feature extraction methods and the identification detection algorithm)

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)

基于轮廓来寻找流动部分，效果不是很好，但是还可以拿来用(Based on the outline to find the flow part, the effect is not very good, but also can be used with)

來自於2012年IEEE TIP的論文 Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution ，其功能為透過分析影像中的直方圖統計資訊，達到快速增強影像對比的結果。(From the 2012 IEEE TIP paper "Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution"which functions as a histogram of the image by analyzing statistical information, to quickly enhance image contrast.)

对于一个二值图像骨架化之后进行边缘平滑，滤波，效果非常不错，适合于任何二值图片(After a binary image is skeletonized, it is smoothed and filtered. The effect is very good. It is suitable for any binary image.)

深度图像处理,主要的是对深度图像进行区域分割(depth map)

说明：  基于matlab 的图像除雾算法。可以很大程度去除雾霾对图像的影响。(Image Defogging Algorithm Based on matlab. The influence of smog on images can be removed to a great extent.)

经典的基于距离变换的图像细化的骨架提取方法。(Classic based on distance transform refining skeleton extraction method. )

利用SFS算法实现3D图像重建，附带有图片实现(3D Image Reconstruction Using SFS Algorithms)

SAR杂波统计建模方面的源程序，不仅可以能为SAR图像去噪工作提供数据源，更是研究SAR图像分割方面的很好的工具。(SAR clutter statistical modeling of the source, not only for SAR image denoising can provide the data source, but also aspects of SAR image segmentation a good tool.)