Modern intelligent techniques, such as deep learning, neural networks, and computer vision algorithms, enable systems to automatically detect patterns, classify objects, and generate high-quality images. With the ability to process vast amounts of visual data, intelligent image processing transforms industries in healthcare, where it aids in techniques like medical imaging analysis or autonomous driving. It ensures real-time object recognition and navigation. Further research into image processing may reveal what these machines can understand and create, making it more efficient, accurate, and versatile. Modern Intelligent Techniques for Image Processing explores modern intelligent techniques for image processing, offering both theoretical foundations and hands-on applications. It examines the way images are analyzed, interpreted, and utilized across various domains including healthcare, autonomous vehicles, security, and entertainment. This book covers topics such as biometrics, image segmentation, and data annotation, and is a useful resource for computer engineers, medical and healthcare professionals, data scientists, academicians, and researchers.
