Edge detection in computer vision

Edge detection is an image processing technique for finding the boundaries of objects within images. It works by detecting discontinuities in brightness. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision.

1. What is edge detection What are different types of edges?
2. What is edge detection in CNN?
3. Which algorithm is best for edge detection?

What is edge detection What are different types of edges?

Edge Detection Operators are of two types: Gradient – based operator which computes first-order derivations in a digital image like, Sobel operator, Prewitt operator, Robert operator. Gaussian – based operator which computes second-order derivations in a digital image like, Canny edge detector, Laplacian of Gaussian.

What is edge detection in CNN?

Edge detection is the task of identifying object boundaries within a still image (see Fig. 1). As a fundamental technique, it has been widely used in image processing and computer vision areas [1–5].

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.