Book Description: Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision presents a comprehensive overview of the latest advancements in artificial intelligence (AI) and machine learning techniques in image processing and computer vision. The book covers various aspects of AI and machine learning, including deep learning, neural networks, and their applications in image processing and computer vision. It also discusses the challenges and limitations of these techniques and provides insights into future research directions in this field. The book is divided into four parts: Part I provides an introduction to AI and machine learning, including the history of AI, the concept of intelligence, and the different types of AI. Part II focuses on image processing techniques, including image enhancement, restoration, segmentation, recognition, and classification. Part III covers computer vision techniques, including object detection, tracking, and recognition. Finally, Part IV discusses the applications of AI and machine learning in various fields such as healthcare, finance, marketing, and transportation. Throughout the book, the authors emphasize the importance of understanding the process of technological evolution and developing a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for the survival of humanity and the survival of the unification of people in a warring state. They argue that by studying and mastering AI and machine learning techniques, we can gain a deeper understanding of how technology is transforming our world and how we can use it to improve our lives. The book is written at a level accessible to students, researchers, and practitioners in computer science, engineering, and related fields.

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