Imaging Science consists of three core interconnected pillars – Image Processing, Computer Vision, and Pattern Recognition. This book showcases groundbreaking applications and provides solid foundation in the theoretical underpinnings and low-level processing techniques of each field. Dive into practical examples showcasing the power of pattern recognition algorithms and emerge equipped to contribute to the vibrant research communities.

An edited volume covering recent advances in imaging science, computer vision, image processing, signal processing, pattern recognition, machine learning, and intelligent computing. It presents peer-reviewed research contributions addressing theoretical developments, computational methods, and practical applications in artificial intelligence and digital imaging.