获得RGB图像三种颜色分量并进行条件筛选

#include "highgui.h"  #include"cv.h"  using namespace std;using namespace cv;int main(int argc, char *argv[]){IplImage *img = cvLoadImage("D:\\huo.jpg");//R、S、B的阈值Rt,St,Btint Rt = 125;int St = 55;int Bt = 9;//获得BGR三种颜色分量//IplImage* img1 = cvCreateImage(cvSize(640, 480), IPL_DEPTH_8U, 1);//IplImage* img1 = cvCreateImage(cvSize(640, 480), IPL_DEPTH_8U, 3);uchar* data = (uchar *)img->imageData;int step = img->widthStep / sizeof(uchar);int channels = img->nChannels;uchar *b_BGR = new uchar[307200], *g_BGR = new uchar[307200], *r_BGR = new uchar[307200];for (int i = 0; i<img->height; i++)for (int j = 0; j<img->width; j++){*b_BGR = data[i*step + j*channels + 0];*g_BGR = data[i*step + j*channels + 1];*r_BGR = data[i*step + j*channels + 2];if (*r_BGR < 200){data[i*step + j*channels + 0] = 0;data[i*step + j*channels + 1] = 0;data[i*step + j*channels + 2] = 0;}else{data[i*step + j*channels + 0] = 255;data[i*step + j*channels + 1] = 255;data[i*step + j*channels + 2] = 255;}}cvShowImage("img", img);cvWaitKey(0);return 0;}

注意：

1：uchar是一种无符号整型数据，所以可以直接用数字进行对比筛选

2：data[i*step + j*channels + 0]     //BRG三色分量相应位置的颜色数据

3：二值化一定要把三个通道的数据都设为0或255，否则其他两个通道的值不会发生变化

图1：原图（带有火焰的图像）

图2：对火焰R分量进行筛选之后的图像