Artificial Intelligence in Image Processing (Techniques, Tools & Applications) is a comprehensive guide that explores the confluence of two transformative domains — Artificial Intelligence (AI) and Digital Image Processing. As the demand for intelligent visual interpretation grows across industries such as healthcare, autonomous vehicles, security surveillance, remote sensing, agriculture, and entertainment, this book serves as a vital resource for researchers, engineers, educators, and students seeking to understand and innovate within this rapidly evolving field. The book begins with a foundational overview of image processing concepts, including image acquisition, filtering, enhancement, segmentation, feature extraction, and classification. These topics are then seamlessly integrated with modern AI techniques, particularly deep learning, neural networks, convolutional neural networks (CNNs), generative adversarial networks (GANs), and transfer learning the core algorithms driving the next generation of intelligent image analysis.
