Intelligent image processing technology

Author: Li Bicheng
Publisher:
Publish Date: 2004-07-01
Features: This book primarily discusses intelligent image processing technology, systematically introducing representative ideas, algorithms, and applications of intelligent image processing technology while tracking the forefront of image processing technology. The book is divided into 15 chapters, focusing on topics such as image edge detection, image segmentation, image feature analysis, image registration, image fusion, image classification, image recognition, content-based image retrieval, and image digital watermarking. Additionally, to ensure content completeness, the book also covers image preprocessing techniques, including image acquisition, image transformation, image enhancement, image restoration, image coding, and compression. This book can serve as a textbook or reference for senior undergraduate or graduate students in related fields such as Information and Communication Engineering, Signal and Information Processing, and Applied Mathematics in higher education institutions. It can also be used as a reference for engineering professionals and researchers. The book primarily discusses intelligent image processing technology, systematically introducing representative ideas, algorithms, and applications of intelligent image processing technology while tracking the forefront of image processing technology. The book is divided into 15 chapters, focusing on topics such as image edge detection, image segmentation, image feature analysis, image registration, image fusion, image classification, image recognition, content-based image retrieval, and image digital watermarking. Additionally, to ensure content completeness, the book also covers image preprocessing techniques, including image acquisition, image transformation, image enhancement, image restoration, image coding, and compression. This book can serve as a textbook or reference for graduate or senior undergraduate students in related fields such as Information and Communication Engineering, Signal and Information Processing, and Applied Mathematics in higher education institutions. It can also be used as a reference for engineering professionals and researchers.