- What is Laplacian filter in image processing?
- Where is Laplacian filter used?
- What is the advantage of Laplacian filter?
- Why Laplacian of Gaussian is useful in image filtering?
What is Laplacian filter in image processing?
A Laplacian filter is an edge detector used to compute the second derivatives of an image, measuring the rate at which the first derivatives change. This determines if a change in adjacent pixel values is from an edge or continuous progression.
Where is Laplacian filter used?
Laplacian filter is a second-order derivative filter used in edge detection, in digital image processing.
What is the advantage of Laplacian filter?
As a spatial filter, the surface Laplacian can reduce spatial noise and enhance prediction.
Why Laplacian of Gaussian is useful in image filtering?
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.