Advantages and disadvantages of edge based segmentation
Answers
Advantages of edge based segmentation:
Edge detection is an image processing technique for finding the boundaries of objects within images. It works by detecting discontinuities in brightness. 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.
Because of this, image segmentation approaches can typically be divided into two categories; edge and region based methods
The advantage of edge-based segmentation
1. A good and high-level approach of the image segmentation just similar to the humans.
2. Well performed work on the images. Especially on the background and the objects of the image.
The disadvantage of edge-based segmentation
1. Can’t do work properly on the smooth transition image.
2. Noise sensitivity is another big disadvantage.