This book mainly discusses intelligent image processing technology, systematically introduces the representative ideas, algorithms and applications of intelligent image processing technology, and tracks the development frontier of image processing technology. The book is divided into 15 chapters, focusing on image edge detection, image segmentation, image feature analysis, image registration, image fusion, image classification, image recognition, content-based image retrieval and image digital watermarking. In addition, for the completeness of the content, this book also introduces image preprocessing techniques, such as image acquisition, image transformation, image enhancement, image restoration, image coding and compression.
Chapter 1 Introduction
1.1 Concepts of images and image processing
1.2 Contents of digital image processing research
1.2.1 Traditional image processing technology
1.2.2 Intelligent image processing technology
1.3 Digital image processing system
1.4 Application of digital image processing
1.5 Human visual system and basics of colorimetry
1.5.1 Human visual system
1.5.2 Basics of Colorimetry
1.6 Arrangement of this book References for this chapter Chapter 2 Image collection
2.1 Image digitization
2.1.1 Mathematical model of image
2.1.2 Sampling and quantization
2.2 Quantitative techniques
2.2.1 Scalar quantization
2.2.2 Vector quantization
2.2.3 LBG algorithm and initial codebook design
2.3 Image input
2.3.1 Image acquisition system
2.3.2 Image input device
2.4 Image file format
2.4.1 BMP (Bitmap) file format
2.4.2 GIF file format
2.4.3 JPEG file format
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