Neural networks offer improved classification capabilities for machine-vision systems.
Electronic neural networks accomplish a particular type of learning and decision-making process similar to that of the human brain. Indeed, the human brain routinely does certain things no computer has ever come close to doing. Fundamentally, these tasks rely on the ability to learn and make decisions in multivariable processes where, strictly speaking, the information is incomplete and the equation is both complex and unknown. While many define the word "decision" as determining a specific course of action, another type of decision of more interest in machine vision is classification.
