Howtosignalprocessing
- What is the disadvantage of an improved Canny edge detector?
- What are the advantages of Canny edge detection?
- What are the advantages and disadvantages of edge based segmentation?
- What are the 3 basic objective of Canny edge detection?
What is the disadvantage of an improved Canny edge detector?
The main disadvantage of Canny edge detector is that it is time consuming, due to its complex computation. noise. Good localization and response. Enhances signal to noise ratio.
What are the advantages of Canny edge detection?
However, the advantage of Canny is that it produces very thin and clean edges. The next step, non-maximal suppression(NMS) will achieve this. NMS is done by tracking along the high values in the output image, then checking for maximal gradients in a 3x3 neighborhood.
What are the advantages and disadvantages of edge based segmentation?
Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision. Disadvantages of edge based segmentation: Segmentation separates one or more regions or objects in an image based on a discontinuity or a similarity criterion.
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.
