Log edge detection

1. What is LoG edge detection?
2. Can LoG filters detect edges?
3. What is the difference between LoG and DoG?
4. What is Laplacian edge detection?

What is LoG edge detection?

Edge Detection With The Log Operator

noise-sensitive, generally, the edge detectors are combined with a Gaussian filter in order to counter the noise enhancement property of the derivative calculations.

Can LoG filters detect edges?

Laplacian of Gaussian (LoG) Filter - useful for finding edges - also useful for finding blobs! Sharp changes in gray level of the input image correspond to “peaks or valleys” of the first-derivative of the input signal.

What is the difference between LoG and DoG?

As I understand it currently: DoG is an approximation of LoG. Both are used in blob detection, and both perform essentially as band-pass filters. Convolution with a Mexican Hat/Ricker wavelet seems to achieve very much the same effect.

What is Laplacian edge detection?

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.