Howtosignalprocessing
- How to use canny edge detection in Matlab?
- How do you calculate threshold for canny edge detection?
- How does canny edge detection algorithm works?
How to use canny edge detection in Matlab?
Detect Edges in Images
Read the image into the workspace and display it. Apply the Sobel edge detector to the unfiltered input image. Then, apply the Canny edge detector to the unfiltered input image. BW1 = edge(I,'sobel'); BW2 = edge(I,'canny');
How do you calculate threshold for canny edge detection?
The 'Canny' method uses two thresholds. For example, if the threshold is [0.1 0.15] then the edge pixels above the upper limit(0.15) are considered and edge pixels below the threshold(0.1) are discarded. Now, you may have a question "what about the pixels in between upper and lower threshold"?
How does canny edge detection algorithm works?
It uses a filter based on the derivative of a Gaussian in order to compute the intensity of the gradients. The Gaussian reduces the effect of noise present in the image. Then, potential edges are thinned down to 1-pixel curves by removing non-maximum pixels of the gradient magnitude.
