使用opencv和c++同时搜索多种颜色

Question

我试图让下面的代码同时搜索多种颜色，例如红色、黄色和橙色。我已经在代码中添加了蒙版，但无法让它们正确应用我做错了什么我不确定将蒙版添加到框架的行是否在正确的位置。

    #include "stdafx.h"
#include <cv.h>
#include <highgui.h>

using namespace std;

using namespace cv::gpu;



IplImage* GetThresholdedImage(IplImage* imgHSV){       
    IplImage* imgThresh=cvCreateImage(cvGetSize(imgHSV),IPL_DEPTH_8U, 1);
    cvInRangeS(imgHSV, cvScalar(170,160,60), cvScalar(180,255,256), imgThresh); 
    return imgThresh;
} 
int main(){
    //Char Firetype = type;
     CvCapture* capture = cvCaptureFromCAM(1);
     if(!capture){
        printf("Capture failure\n");
        return -1;
    }
    IplImage* frame=0;

    cvNamedWindow("Video");     
    cvNamedWindow("Fire");
    cvNamedWindow("Info");
    //iterate through each frame of the video     
    while(true){
        frame = cvQueryFrame(capture);           
        if(!frame) break;
        frame=cvCloneImage(frame); 
        cvSmooth(frame, frame, CV_GAUSSIAN,3,3); //smooth the original image using Gaussian kernel
        cv::Mat imgMat(frame);
        cv::Mat mask1;
        cv::inRange(imgMat, cv::Scalar(20, 100, 100), cv::Scalar(30, 255, 255), mask1);
        cv::Mat mask2;
        cv::inRange(imgMat, cv::Scalar(170,160,60), cv::Scalar(180,255,256), mask2);
        cv::Mat mask3;
        cv::inRange(imgMat, cv::Scalar(70,160,60), cv::Scalar(90,255,256), mask3);
        // combine them
        cv::Mat mask_combined = mask1 | mask2 | mask3;
        // now since our frame from the camera is bgr, we have to convert our mask to 3 channels:
        cv::Mat mask_rgb;
        cv::cvtColor( mask_combined, mask_rgb, CV_GRAY2BGR );
        IplImage framemask = imgMat & mask_rgb;
        IplImage* imgHSV = cvCreateImage(cvGetSize(framemask), IPL_DEPTH_8U, 3); 
        cvCvtColor(frame, imgHSV, CV_BGR2HSV); //Change the color format from BGR to HSV


        //This function threshold the HSV image and create a binary image
        // function below to get b&w image
        IplImage* imgThresh = GetThresholdedImage(imgHSV);
        cvSmooth(imgThresh, imgThresh, CV_GAUSSIAN,3,3); //smooth the binary image using Gaussian kernel
        cvShowImage("Fire", imgThresh);           
        cvShowImage("Video", frame);
        //          cvNamedWindow("Info", Firetype);           
        cvReleaseImage(&imgHSV);
        cvReleaseImage(&imgThresh);            
        cvReleaseImage(&frame);
        //Wait 50mS
        int c = cvWaitKey(10);
        //If 'ESC' is pressed, break the loop
        if((char)c==27 ) break;      
    }
    cvDestroyAllWindows() ;
    cvReleaseCapture(&capture);     
    return 0;
}

Answer 1

tl：博士；

使用bitwise-or组合二进制掩码， bitwise_and应用它们

cv::Mat mask1;
cv::inRange( hsv, cv::Scalar(20, 100, 100), cv::Scalar(30, 255, 255), mask1);
cv::Mat mask2;
cv::inRange( hsv, cv::Scalar(170,160,60),   cv::Scalar(180,255,256), mask2);
cv::Mat mask3;
cv::inRange( hsv, cv::Scalar(70,160,60),   cv::Scalar(90,255,256), mask3);

// combine them
cv::Mat mask_combined = mask1 | mask2 | mask3;

// now since our frame from the camera is bgr, we have to convert our mask to 3 channels:
cv::Mat mask_rgb;
cv::cvtColor( mask_combined, mask_rgb, CV_GRAY2BGR );

// finally, apply the mask to our image
frame = frame & mask_rgb;