Digital image processing

Author: Hu Hongtao
Publisher:
Publish Date: 2003-06-01
Features: This book introduces the basic concepts, typical algorithms, and fundamental techniques of digital image processing from an applied perspective. The book is divided into three main parts: Most of the book (Chapters 1-4) primarily covers the basic concepts, fundamental operations, and mathematical foundations of digital image processing; the second part (Chapters 5-8) primarily discusses various typical algorithms and practical techniques in digital image processing, such as image transformation, image enhancement, and image coding; the third part (Chapters 9-11) primarily focuses on pattern recognition, image fusion techniques, and the design of image processing systems, including the basic theories of pattern recognition, classification algorithms, and image fusion algorithms. This book can serve as a professional foundational textbook for undergraduate and graduate students in computer science at ordinary universities, as well as a professional elective textbook for undergraduate students in fields such as communication, information, security, remote sensing, and medicine. Additionally, it holds reference value for science and technology personnel engaged in digital image processing.