Digital image processing

Author: Yao Min
Publisher:
Publish Date: 2006-01-01
Features: This book is well-structured, with clear and concise narration, making it suitable as a textbook for senior undergraduate students and junior graduate students studying digital image processing courses. It can also serve as a reference for technical personnel engaged in digital image processing research and development. The book emphasizes the fundamental concepts and practical techniques of digital image processing, enabling readers to use these techniques to solve various problems encountered in the process of digital image processing. Starting from the overall knowledge framework of digital image processing technology, the book explains its basic content, background, and related theoretical foundations, including the image digitization process, analysis of image signals, basic mathematical tools, and classical algorithms. Based on this foundation, it extends to in-depth knowledge in image processing, such as color and multispectral image processing techniques, and the fundamentals of image analysis and recognition, providing readers with a guide for further learning and research in digital image processing. Finally, it briefly introduces the image processing tool MATLAB to give readers a practical understanding of image processing.