Howtosignalprocessing
- What is non maximum suppression in canny edge detection?
- How many major steps are there in the Canny edge detection algorithm?
- What are the steps of Canny edge detector?
- What is non maximum suppression?
What is non maximum suppression in canny edge detection?
Non-maximum supression is often used along with edge detection algorithms. The image is scanned along the image gradient direction, and if pixels are not part of the local maxima they are set to zero. This has the effect of supressing all image information that is not part of local maxima.
How many major steps are there in the Canny edge detection algorithm?
Later we apply hysteresis tracking to make a pixel strong if any of the 8 neighboring pixels are strong. Now, we will discuss each step in detail. There are 5 steps involved in Canny edge detection, as shown in fig 1.2 above.
What are the steps of Canny edge detector?
Apply Gaussian filter to smooth the image in order to remove the noise. Find the intensity gradients of the image. Apply gradient magnitude thresholding or lower bound cut-off suppression to get rid of spurious response to edge detection. Apply double threshold to determine potential edges.
What is non maximum suppression?
Non Maximum Suppression is a computer vision method that selects a single entity out of many overlapping entities (for example bounding boxes in object detection). The criteria is usually discarding entities that are below a given probability bound.
