I found the contours of one image that content numbers, then I used boundingrect for find the rectangles of those contours the result is:
I would know how to unite the final contours for then recognize the letters. the result that i want its something like this:
some sugestion for resolve my problem. Thanks"!!!!
I would suggest morphological operator to close the gap before to find contour.
In this case you can use MORPH_CLOSE with a vertical kernel where height >= as distance you want to connect.For example the code below produces this result
Morph Close 
than contour 
Mat src,dst,bw,connected;
src= imread("../img/numbers.png");
inRange(src, Scalar(200,200,200), Scalar(255,255,255), bw);
// define your kernel as vertical line
int maxDistance = 4; //as distance you want to connect
Mat kernel = Mat(Size(3, maxDistance), CV_8UC1, Scalar(0));
//vert line in the middle
line(kernel, Point(kernel.cols/ 2, 0), Point(kernel.cols / 2, kernel.rows), CL_WHITE, 1);
cv::morphologyEx(bw, connected, MORPH_CLOSE, kernel);
imshow("Connected Numbers", connected);
vector<vector<Point>> contours;
findContours(connected, contours, RETR_LIST, CV_CHAIN_APPROX_SIMPLE);
for (size_t i = 0; i < contours.size(); i++)
{
Rect rr = boundingRect(contours[i]);
rectangle(src, rr, CL_GREEN, 1);
}
imshow("Connected Rects", src);
waitKey(0);
do not use too much height because you will close "5" too
cv::Rect has union('|') and intersection('&') operators. you could use them like this:
Rect r1(5,5,10,10); //[10 x 10 from (5, 5)]
Rect r2(16,16,10,10); //[10 x 10 from (16, 16)]
Rect r3 = r1 | r2; //[21 x 21 from (5, 5)]
Asked: 2017-02-22 18:59:54 -0600
Seen: 2,297 times
Last updated: Feb 23 '17