Describe the theoretical principles of machine vision and its applications in image processing, object recognition, and computer vision. Machine vision involves techniques such as image filtering, feature extraction, and pattern recognition for analyzing and interpreting visual data. By understanding the mathematical algorithms and computational models underlying machine vision systems, engineers can develop intelligent systems for applications such as automated inspection, autonomous navigation, and augmented reality, enabling machines to perceive and interact with the visual world.