Question

Advantage and disadvantage of canny edge detection

Answer 1

The Canny edge detector is an edge detection operator developed by John F. Canny in 1986. This detector uses a multi-stage algorithm to detect a wide range of edges in images.

Advantages:

1. The presence of Gaussian filter allows removing of any noise in an image.

2. The signal can be enhanced with respect to the noise ratio by non-maxima suppression method which results in one pixel wide ridges as the output.

3. Detects the edges in a noisy state by applying the thresholding method.

4. The effectiveness can be adjusted by using parameters.

5. It gives a good localization, response and is immune to a noisy environment.

Disadvantages:

1. The primary disadvantage of using Canny edge detector is that it consumes a lot of time due to its complex computation.

2. It is difficult to implement to reach the real-time response.

Answer 2

Canny edge detection is a technique which is used to extract useful structural information from different vision objects. It reduces the amount of data to be processed. It is used in computer vision systems.

Advantages:

1. Canny edge detection is adaptable to various environments.

2. Its parameters permit it to be customized to recognize the edges with different characteristics.

3. It is a well defined method which offers a reliable detection.

4. It is the most popular edge detection method because it meets the three criteria for edge detection and it is easy to use.

Disadvantages:

1. If the amount of smoothing required is important in the spatial domain it may be slow to compute.

2. It gives a bias towards vertical and horizontal edges and does not give a good approximation of rotational symmetry.