A Novel Framework to Image Edge Detection Using Cellular Automata
Edge detection is one of the most commonly used operations in image analysis and digital image processing. Edge detection technique has a key role in machine vision and image understanding systems. In machine vision motion track and measurement system based on discrete feature, the exact feature edge orientation in the image is the precondition of the successful completion of the vision measurement task. Edges of an image are considered a type of crucial information that can be extracted by applying detectors with different methodology. Most of the classical mathematical methods for edge detection based on the derivative of the pixels of the original image are Gradient operators, Laplacian and Laplacian of Gaussian operators.