Get RGB pixels from input image and reconstruct an

问题:

I want to load the image in opencv and split the image into channels(RGB) and i want to increase any one of the colors and getting that corresponding output image.is there any easiest way to do this problem?

回答1:

Well to add any scalar to an RGB image you can use cvAddS(srcImage, scalarToAdd, dstImage). Here is an example:

int main(int argc, char** argv)

{
// Create a named window with the name of the file.
cvNamedWindow( argv[1], 1 );
// Load the image from the given file name.
IplImage* img = cvLoadImage( argv[1] );
//Make a scalar to add 30 to Blue Color and 20 to Red (BGR format)
CvScalar colorAdd = cvScalar(30.0, 0, 20.0);
cvAddS(img, colorAdd, img);
// Show the image in the named window
cvShowImage( argv[1], img );
// Idle until the user hits the “Esc” key.
while( 1 ) {
if( cvWaitKey( 100 ) == 27 ) break;
}
cvDestroyWindow( argv[1] );
cvReleaseImage( &img );
exit(0);
}

Haven't tested the code, hope it helps.

回答2:

@karlphillip: Generally a better solution for RGB images - handles any padding at row ends, also parallelizes nicely with OMP !

for (int i=0; i < height;i++) 
{
    unsigned char *pRow = pRGBImg->ptr(i);
    for (int j=0; j < width;j+=bpp) 
    // For educational puporses, here is how to print each R G B channel:
      std::cout << std::dec << "R:" << (int) pRow->imageData[j] <<  
                          " G:" << (int) pRow->imageData[j+1] <<  
                          " B:" << (int) pRow->imageData[j+2] << " "; 
    }
}

回答3:

With the OpenCV C++ interface you can simply add a Scalar to an image with the overloaded arithmetic operators.

int main(int argc, const char * argv[]) {
    cv::Mat image;
    // read an image
    if (argc < 2)
        return 2;

    image = cv::imread(argv[1]);

    if (!image.data) {
        std::cout << "Image file not found\n";
        return 1;
    }

    cv::Mat image2 = image.clone(); // Make a deep copy of the image
    image2 += cv::Scalar(30,0,20); // Add 30 to blue, 20 to red

    cv::namedWindow("original");
    cv::imshow("original", image);

    cv::namedWindow("addcolors");
    cv::imshow("addcolors", image2);

    cv::waitKey(0);
    return 0;
}

回答4:

Another option is to manually iterate on the pixels of the image and work on the channel that interests you. This will give you the flexibility to manipulate each channel individually or as a group.

The following code uses the C interface of OpenCV:

IplImage* pRGBImg = cvLoadImage("test.png", CV_LOAD_IMAGE_UNCHANGED); 
int width = pRGBImg->width; 
int height = pRGBImg->height;
int bpp = pRGBImg->nChannels; 
for (int i=0; i < width*height*bpp; i+=bpp) 
{
  // For educational puporses, here is how to print each R G B channel:
  std::cout << std::dec << "R:" << (int) pRGBImg->imageData[i] <<  
                          " G:" << (int) pRGBImg->imageData[i+1] <<  
                          " B:" << (int) pRGBImg->imageData[i+2] << " "; 
}

However, if you want to add a fixed value to a certain channel you might want to check @Popovici's answer.