Gonzales Digital Image Processing and the Laplacian Operator

1. What is Laplacian operator in digital image processing?
2. What does cv2 Laplacian do?
3. Why Laplacian operator is used?
4. What is the advantage of Laplacian filter?

What is Laplacian operator in digital 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.

What does cv2 Laplacian do?

Laplacian Operator is also a derivative operator which is used to find edges in an image. It is a second order derivative mask. In this mask we have two further classifications one is Positive Laplacian Operator and other is Negative Laplacian Operator.

Why Laplacian operator is used?

In image processing and computer vision, the Laplacian operator has been used for various tasks, such as blob and edge detection. The Laplacian is the simplest elliptic operator and is at the core of Hodge theory as well as the results of de Rham cohomology.

What is the advantage of Laplacian filter?

As a spatial filter, the surface Laplacian can reduce spatial noise and enhance prediction.