What is the best algorithm to detect leading edge?

1. Which algorithm is best for edge detection?
2. What is edge detection algorithm?
3. Which is the best method among basic edge detection and why?
4. Which is the most common technique used to detect edges in a raster data?

Which algorithm is best for edge detection?

Canny edge detection algorithm (Canny, 1986) known as optimal edge detection algorithm and the most commonly used edge detection algorithm in practice.

What is edge detection algorithm?

Edge detection is a technique of image processing used to identify points in a digital image with discontinuities, simply to say, sharp changes in the image brightness. These points where the image brightness varies sharply are called the edges (or boundaries) of the image.

Which is the best method among basic edge detection and why?

Canny edge detector is probably the most commonly used and most effective method, because it uses first a gaussian filter, it has more noise inmunity than other methods and you can stablish inferior and superior thresshold for edge detections in MATLAB. Some of the methods are canny edge detection, laplacian and sobel.

Which is the most common technique used to detect edges in a raster data?

The Canny Edge Detection [2] technique has been one of the most popular ones. This technique involves multiple stages, including Gaussian blurring, gradient filtering, non-maxima suppression, etc. Many other techniques use hand-crafted features to detect the edges.