Python 笔划宽度变换

Question

I'm trying to implement the Stroke Width Transform in Python. I have gone through numerous stack overflow questions and answers and other resources on the internet but have not found an implementation for it. So I decided to try on my own.

After performing Canny edge detection, my first step is to calculate the x and y derivatives of the image

sobelx = cv2.Sobel(img,cv2.CV_64F,1,0,ksize=5)
sobely = cv2.Sobel(img,cv2.CV_64F,0,1,ksize=5)

How do I then combine these to get the gradient at each point in the image? Also, how do I then calculate the width of the stroke?

I'm using the steps given in the original IEEE Paper (freely accessible paper direct from Microsoft here ) for reference. The description of the steps is on the bottom of the right hand side on page 3.

Answer 1

There's a python implementation of the SWT here . And unlike many SWT implementations I've seen, this one clusters text regions into groups that likely represent words.