Howtosignalprocessing
- What is non maximum suppression in Canny?
- What is non maximum suppression?
- What is non maximum suppression in edge detection?
- How does a canny filter work?
What is non maximum suppression in Canny?
Non maximum suppression works by finding the pixel with the maximum value in an edge. In the above image, it occurs when pixel q has an intensity that is larger than both p and r where pixels p and r are the pixels in the gradient direction of q.
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.
What is non maximum suppression in 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 does a canny filter work?
The Canny filter is a multi-stage edge detector. 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.
