How to use the OTSU Threshold in opencv?

I was using a fixed threshold but turns out that it's not so good for me. Then, someone told me about the otsu threshold. How can I use it in my code? I read about it and I don't understand very well. Could someone explain to me how to use it in OpenCV the otsu threshold?

Here is my code now:

 #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/highgui/highgui.hpp> using namespace cv; int main ( int argc, char **argv ) { Mat im_gray = imread("img3.jpg",CV_LOAD_IMAGE_GRAYSCALE); Mat im_rgb = imread("img3.jpg"); cvtColor(im_rgb,im_gray,CV_RGB2GRAY); Mat img_bw = im_gray > 115; imwrite("img_bw3.jpg", img_bw); return 0; } 

With this I have to change the threshold to any image that I want to convert to binary. I found this:

 cvThreshold(scr, dst, 128, 255, CV_THRESH_BINARY | CV_THRESH_OTSU);

Is that right? I don't understand very well and because of that, didn't know how I could adapt to my code.

3 Answers

Following line makes otsu thresholding operation:

cv::threshold(im_gray, img_bw, 0, 255, CV_THRESH_BINARY | CV_THRESH_OTSU);
  • im_gray is a source 8-bit image,
  • img_bw is a result,
  • 0 means threshold level which actually is omitted because we used CV_THRESH_OTSU flag,
  • 255 is a value that is going to be assigned to respectively pixels in the result (namely, to all pixels which value in the source is greater then computed threshold level)
  • CV_THRESH_BINARY | CV_THRESH_OTSU is a required flag to perform Otsu thresholding. Because in fact we would like to perform binary thresholding, so we use CV_THRESH_BINARY (you can use any of 5 flags opencv provides) combined with CV_THRESH_OTSU

Link to documentation:

In python it is simple

import cv2
img = cv2.imread('img.jpg',0) #pass 0 to convert into gray level
ret,thr = cv2.threshold(img, 0, 255, cv2.THRESH_OTSU)
cv2.imshow('win1', thr)
cv2.waitKey(0)
cv2.destroyAllWindows()

In Android is one line.

Imgproc.threshold(matGrayIn, matOtsuOut, 0, 255, Imgproc.THRESH_OTSU | Imgproc.THRESH_BINARY);

Your Answer

Sign up or log in

Sign up using Google Sign up using Facebook Sign up using Email and Password

Post as a guest

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

You Might Also Like