Digital Image Processing and Analysis

Author: Liu Zhifang
Publisher:
Publish Date: 2006-08-01
Features: This book systematically introduces the mathematical foundations, basic algorithms, various typical methods, and practical processing techniques involved in digital image processing. Based on the authors' extensive experience in related scientific research and teaching over the years, it provides numerous examples for reference. Considering the rapid development and widespread application of image processing technology, the book not only explains fundamental theories but also introduces the latest research trends, achievements, and application cases both domestically and internationally. The book is primarily divided into three parts: The first part covers the basic concepts and mathematical foundations of image processing, discussing the overall overview of image processing technology, fundamental knowledge and operations, as well as various basic transformation techniques. The second part focuses on basic image processing techniques, covering theories, methods, and examples such as image enhancement, restoration, and compression. The third part explores the fundamental principles and techniques of image analysis, including edge- and region-based segmentation, feature extraction and representation, and the description of image object features. This book can serve as a specialized textbook for undergraduate and graduate students in disciplines such as computer science and technology, information and signal processing, image communication, electronic engineering, biomedical engineering, robotics and automation, automatic control, remote sensing technology, and military reconnaissance. It is also a valuable reference for researchers and engineering professionals in related fields.