Reputation: 49
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!
Upvotes: 1
Views: 2199
Reputation: 6404
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.
Upvotes: 1