How to get all objects from image i am separating image objects through colors. There are almost 20 colors in following image. I want to extract all colors and their position in a vector(Vec3b and Rect).
I'm using egbis algorithum for segmentation
Segmented image
Mat src, dst;
String imageName("/home/pathToImage.jpg" );
src = imread(imageName,1);
if(src.rows < 1)
return -1;
for(int i=0; i<src.rows; i=i+5)
{ for(int j=0; j<src.cols; j=j+5)
{
Vec3b color = src.at<Vec3b>(Point(i,j));
if(colors.empty())
{
colors.push_back(color);
}
else{
bool add = true;
for(int k=0; k<colors.size(); k++)
{
int rmin = colors[k].val[0]-5,
rmax = colors[k].val[0]+5,
gmin = colors[k].val[1]-5,
gmax = colors[k].val[1]+5,
bmin = colors[k].val[2]-5,
bmax = colors[k].val[2]+5;
if((
(color.val[0] >= rmin && color.val[0] <= rmax) &&
(color.val[1] >= gmin && color.val[1] <= gmax) &&
(color.val[2] >= bmin && color.val[2] <= bmax))
)
{
add = false;
break;
}
}
if(add)
colors.push_back(color);
}
}
}
int size = colors.size();
for(int i=0; i<colors.size();i++)
{
Mat inrangeImage;
//cv::inRange(src, Scalar(lowBlue, lowGreen, lowRed), Scalar(highBlue, highGreen, highRed), redColorOnly);
cv::inRange(src, cv::Scalar(colors[i].val[0]-1, colors[i].val[1]-1, colors[i].val[2]-1), cv::Scalar(colors[i].val[0]+1, colors[i].val[1]+1, colors[i].val[2]+1), inrangeImage);
imwrite("/home/kavtech/Segmentation/1/opencv-wrapper-egbis/images/inrangeImage.jpg",inrangeImage);
}
/// Display
namedWindow("Image", WINDOW_AUTOSIZE );
imshow("Image", src );
waitKey(0);
I want to get each color position so that i can differentiate object positions. Please Help!
That's just a trivial data formatting problem. You want to turn a truecolour image with only 20 or so colours into a colour-indexed image.
So simply step through the image, look up the colour in your growing dictionary, and assign and integer 0-20 to each pixel.
Now you can turn the images into binary images simply by saying one colour is set and the rest are clear, and use standard algorithms for fitting rectangles.