Howtosignalprocessing
- What can Laplacian of Gaussian filters detect?
- What is Laplacian of Gaussian used for?
- What is Laplacian of Gaussian edge detection?
- Why is the Laplacian alone not a good edge detector but the Laplacian of Gaussian is?
What can Laplacian of Gaussian filters detect?
The Laplacian filter is used to detect the edges in the images. But it has a disadvantage over the noisy images. It amplifies the noise in the image. Hence, first, we use a Gaussian filter on the noisy image to smoothen it and then subsequently use the Laplacian filter for edge detection.
What is Laplacian of Gaussian used for?
The Laplacian of Gaussian is useful for detecting edges that appear at various image scales or degrees of image focus. The exact values of sizes of the two kernels that are used to approximate the Laplacian of Gaussian will determine the scale of the difference image, which may appear blurry as a result.
What is Laplacian of Gaussian edge detection?
Laplacian of Gaussian is a popular edge detection algorithm. Edge detection is an important part of image processing and computer vision applications. It is used to detect objects, locate boundaries, and extract features.
Why is the Laplacian alone not a good edge detector but the Laplacian of Gaussian is?
The Laplacian of Gaussian (LoG) is not an edge detector, since it has zero crossings at (near*) edges. But it can be used to construct an edge detector. The edge detector so constructed is the Marr-Hildreth edge detector. Because of this, it often gets classified under edge detectors.
