liuzhiyuan1225's profile - activity

How to detect individual panels from this image? Any ideas on how I can do this using OpenCV?

How to locate and recognize the red numbers (A018132, F05691, M052659 for blues tickets; 374080144, C063497, P082400 for red tickets) in the following tickets using OpenCV?

Maybe the difficult part should be text localisation and seperation. If possible please provide some sample code that I can learn and test. Thanks in advance!

I'd like to remove shadow before image binarization using OpenCV. I've tried Otsu Method and adaptive thresholding, however for images where there are large regions of shadow, these two methods will not give good results.

Any better solutions? Thanks in advance.

Is it possible to detect body parts such as head, shoulder, hand, leg, foot from a single image with OpenCV or other image processing libraries?

If possible please provide examples or tutorials, thanks in advance.

I did skin detection with OpenCV, it is based on HSV color space:

cvtColor(src, hsv, CV_BGR2HSV);

inRange(hsv, Scalar(0, 48, 80), Scalar(20, 255, 255), bw);

vector<vector<Point>> contours;

vector<Vec4i> hierarchy;

findContours(bw, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));

int s = findBiggestContour(contours);

Mat output = Mat::zeros(src.size(), CV_8UC1);

drawContours(output, contours, s, Scalar(255), -1, 8, hierarchy, 0, Point());

It finds the contour of the skin correctly, however, the edge of the output is not "smooth". Is there a way I can smooth the output contour (Please note "contours" is a vector of coordinates of the contour)?

I want to "smooth" the output based on coordinates or black/white image, not by means of algorithms like "image blur". Any suggestions? It'll be kind if you show me some OpenCV codes.