Visual c ++/MATLAB Image Processing and recognition case selection

Http://www.matlabfan.com/thread-646-1-1.html

 

Author]Edited by Hu Xiaofeng and Zhao Hui

[Press]People's post and telecommunications Publishing House

【Contents]
This book systematically introduces the basic principles, typical methods, and practical technologies of image processing and recognition. The book consists of 12 chapters, Chapter 1st ~ Chapter 2 is the basic content of image processing and recognition, including image science overview, MATLAB Language image programming, image enhancement, image segmentation, image feature extraction, and image recognition. Chapter 2 ~ Chapter 2 is an engineering example of image processing and recognition. It covers medical image processing, text recognition, self-guided vehicle path recognition, and other application examples, A large number of Matlab code programs are provided to help readers learn how to use MATLAB to quickly simulate, debug, and estimate algorithms. Chapter 2 ~ Chapter 2 is a comprehensive example of a neural network-based text recognition system and license plate Locating System Implemented by Visual C ++.
The CD attached to this book provides the source code of the examples listed in each chapter, and presents 28 commonly used digital image processing algorithms in Visual C ++ code implementation.
This book provides an in-depth explanation, rich instance programs, and focuses on combining theory with practice. This book can be used as a reference book for senior undergraduates or graduate students in computer application, automation, image processing and pattern recognition, and mechatronics, it can also be read and referenced by researchers and engineering technicians engaged in image processing and recognition.

【Contents]

Chapter 1 Image Science Overview 1
1.1 Introduction 1
1.2 Basic Structure of Image Processing System 4
1.3 digitization and representation of images 6
1.4 basic operations for digital image processing 9
1.5 image processing and recognition and image comprehension 12
1.6 relationship between image processing and recognition and Image Understanding 17
1.7 Computer Vision 19
Chapter 2 MATLAB Image programming 23
2.1 Basic MATLAB operations 23
2.2 matlab programming basics 24
2.3 MATLAB operator 27
2.4 control statement 29
2.5 m script file and function File 33
2.6 MATLAB Image Processing preliminary 35
2.7 image formats and MATLAB Image types 39
2.8 MATLAB Image Display 46
Chapter 5 Image Enhancement 52
3.1 image transformation enhancement 52
3.2 grayscale transformation enhancement 58
3.3 histogram transformation enhancement 62
3.4 spatial domain Filter enhancement 67
3.5 Frequency Domain enhancement 78
Chapter 4 image segmentation 84
4.1 basic concepts of image segmentation 84
4.2 Edge Detection 85
4.3 grayscale threshold segmentation 93
4.4 Area Division 101
4.5 color Division 105
4.6 Special Methods for image segmentation 111
Chapter 1 Feature Extraction 5th
5.1 basic concepts 119
5.2 Texture Feature Extraction 121
5.3 shape and structure feature extraction 135
5.4 Color Feature Extraction 143
Chapter 2 Image Recognition 6th
6.1 Image Recognition overview 144
6.2 Statistical Pattern Recognition Method 145
6.3 structure statement recognition method 153
6.4 Fuzzy Set Identification Method 162
6.5 neural network identification method 173
Chapter 2 Medical Image Processing 7th
7.1 precise detection of cell edge 180
7.2 cancer cell identification system 187
Chapter 2 text image recognition 8th
8.1 text image recognition overview 196
8.2 automatic identification of book search numbers in the library 197
8.3 automatic identification of automobile licenses 226
8.4 automatic Trademark Translation 230
Chapter 2 AGV visual guidance vehicle path recognition 9th
9.1 overview of AGV and its visual guidance technology 234
9.2 path camera system 237
9.3 path Image Recognition 240
Chapter 1 Application of Image Technology in Automatic Detection 10th
10.1 automatic inspection of mechanical parts 254
10.2 image measurement of mechanical vibration amplitude characteristics 256
10.3 automatic detection and identification of Steel Ball Surface Defects 258
Chapter 2 neural network-based text recognition system 11th
11.1 system introduction 264
11.2 basic technical requirements of the System 264
11.3 key technologies in the system 264
11.4 system software and hardware platform 264
11.5 system implementation 265
11.6 summary of this chapter 384
Chapter 2 License Plate positioning system 12th
12.1 system introduction 385
12.2 basic system technical requirements 385
12.3 key technologies used in the system 385
12.4 system software and hardware platform 385
12.5 system implementation 386
12.6 summary of this chapter 420