Howtosignalprocessing
- Which algorithm is best for edge detection?
- What are the 3 basic objective of Canny Edge Detection?
- Which is the best method among basic edge detection and why?
- Which preprocessing is preferred before actual edge detection?
- Which of the following approach is used for the edge detection?
Which algorithm is best for edge detection?
Canny edge detection algorithm (Canny, 1986) known as optimal edge detection algorithm and the most commonly used edge detection algorithm in practice.
What are the 3 basic objective of Canny Edge Detection?
Find the intensity gradients of the image. Apply non-maximum suppression to get rid of spurious response to edge detection. Apply double threshold to determine potential edges.
Which is the best method among basic edge detection and why?
Canny Operator
Canny edge detector is probably the most commonly used and most effective method, it can have it's own tutorial, because it's much more complex edge detecting method then the ones described above.
Which preprocessing is preferred before actual edge detection?
As a pre-processing step to edge detection, a smoothing stage, typically Gaussian smoothing, is almost always applied (see also noise reduction).
Which of the following approach is used for the edge detection?
Laplacian of Gaussian
In an image, Laplacian is the highlighted region in which rapid intensity changes and it is also used for edge detection. The Laplacian is applied to an image which is been smoothed using a Gaussian smoothing filter to reduce the sensitivity of noise.
