基本信息
源码名称:OpenCV火焰检测识别 示例源码
源码大小:18.53M
文件格式:.zip
开发语言:C/C++
更新时间:2019-03-08
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源码介绍
#include<opencv2/opencv.hpp> #include<cv.h> using namespace cv; int redThre =49; // 115~135 int saturationTh = 7; //55~65 Mat CheckColor(Mat &inImg); void DrawFire(Mat &inputImg, Mat foreImg); int main() { VideoCapture capture("test1.avi"); //VideoCapture capture(0); while (1) { Mat frame; capture >> frame; if (frame.empty()) break; namedWindow("Control", CV_WINDOW_AUTOSIZE); cvCreateTrackbar("redThre", "Control", &redThre, 255); cvCreateTrackbar("saturationTh", "Control", &saturationTh, 255); CheckColor(frame); waitKey(1); } return 0; } //The Color Check is According to "An Early Fire-Detection Method Based on Image Processing" //The Author is:Thou-Ho (Chao-Ho) Chen, Ping-Hsueh Wu, and Yung-Chuen Chiou Mat CheckColor(Mat &inImg) { Mat fireImg; fireImg.create(inImg.size(), CV_8UC1); Mat multiRGB[3]; int a = inImg.channels(); split(inImg, multiRGB); //将图片拆分成R,G,B,三通道的颜色 for (int i = 0; i < inImg.rows; i ) { for (int j = 0; j < inImg.cols; j ) { float B, G, R; B = multiRGB[0].at<uchar>(i, j); //每个像素的R,G,B值,动态地址计算法 G = multiRGB[1].at<uchar>(i, j); R = multiRGB[2].at<uchar>(i, j); float maxValue = max(max(B, G), R); float minValue = min(min(B, G), R); //与HSI中S分量的计算公式 double S = (1 - 3.0*minValue / (R G B));// //R > RT R>=G>=B S>=((255-R)*ST/RT) if (R > redThre &&R >= G && G>= B && S >((255 - R) * saturationTh / redThre)) { fireImg.at<uchar>(i, j) = 255; } else { fireImg.at<uchar>(i, j) = 0; } } } //erode(fireImg, fireImg, Mat(3, 3, CV_8UC1)); //GaussianBlur(fireImg, fireImg, Size(5, 5), 0, 0); medianBlur(fireImg, fireImg, 5); dilate(fireImg, fireImg, Mat(5, 5, CV_8UC1)); imshow("Binary", fireImg); DrawFire(inImg, fireImg); return fireImg; } void DrawFire(Mat &inputImg, Mat foreImg) { vector<vector<Point>> contours_set;//保存轮廓提取后的点集及拓扑关系 findContours(foreImg, contours_set, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE); Point point1; Point point2; float a = 0.4, b = 0.75; float xmin1 = a*inputImg.cols, ymin1 = inputImg.rows, xmax1 = 0, ymax1 = 0; float xmin2 = b*inputImg.cols, ymin2 = inputImg.rows, xmax2 = a*inputImg.cols, ymax2 = 0; float xmin3 = inputImg.cols, ymin3 = inputImg.rows, xmax3 = b*inputImg.cols, ymax3 = 0; Rect finalRect1; Rect finalRect2; Rect finalRect3; vector<vector<Point> >::iterator iter = contours_set.begin(); for (; iter != contours_set.end();) { Rect rect = boundingRect(*iter); float radius; Point2f center; minEnclosingCircle(*iter, center, radius); if (rect.area()> 0) { point1.x = rect.x; point1.y = rect.y; point2.x = point1.x rect.width; point2.y = point1.y rect.height; if (point2.x< a*inputImg.cols) { if (point1.x < xmin1) xmin1 = point1.x; if (point1.y < ymin1) ymin1 = point1.y; if (point2.x > xmax1 && point2.x < xmax2) xmax1 = point2.x; if (point2.y > ymax1) ymax1 = point2.y; } if (point2.x < b*inputImg.cols&&point2.x > a*inputImg.cols) { if (point1.x < xmin2 && point1.x>xmin1) xmin2 = point1.x; if (point1.y < ymin2) ymin2 = point1.y; if (point2.x > xmax2 && point2.x < xmax3) xmax2 = point2.x; if (point2.y > ymax2) ymax2 = point2.y; } if (point2.x < inputImg.cols&&point2.x > b*inputImg.cols) { if (point1.x < xmin3 && point1.x>xmin2) xmin3 = point1.x; if (point1.y < ymin3) ymin3 = point1.y; if (point2.x > xmax3) xmax3 = point2.x; if (point2.y > ymax3) ymax3 = point2.y; } iter; } else { iter = contours_set.erase(iter); } } if (xmin1 == a*inputImg.cols&& ymin1 == inputImg.rows&&xmax1 == 0 && ymax1== 0) { xmin1 = ymin1 = xmax1 = ymax1 = 0; } if (xmin2 == b*inputImg.cols&& ymin2 == inputImg.rows&& xmax2 == a*inputImg.cols&& ymax2 == 0) { xmin2 = ymin2 = xmax2 = ymax2 = 0; } if (xmin3 == inputImg.cols&&ymin3 == inputImg.rows&& xmax3 == b*inputImg.cols&& ymax3 == 0) { xmin3 = ymin3 = xmax3 = ymax3 = 0; } finalRect1= Rect(xmin1, ymin1, xmax1 - xmin1, ymax1 - ymin1); finalRect2 = Rect(xmin2, ymin2, xmax2 - xmin2, ymax2 - ymin2); finalRect3 = Rect(xmin3, ymin3, xmax3 - xmin3, ymax3 - ymin3); rectangle(inputImg, finalRect1, Scalar(0, 255, 0)); rectangle(inputImg, finalRect2, Scalar(0, 255, 0)); rectangle(inputImg, finalRect3, Scalar(0, 255, 0)); imshow("Fire_Detection", inputImg); }