Visual C++/MATLAB Image Processing and Recognition Practical Cases Selection

Author: Hu Xiaofeng
Publisher:
Publish Date: 2004-09-01
Features: This book explains concepts in an accessible manner with abundant example programs, emphasizing the combination of theory and practice. It serves as a reference for senior undergraduate or graduate students in computer applications, automation, image processing and pattern recognition, and mechatronics. It is also suitable for researchers and engineering professionals engaged in image processing and recognition. The book systematically introduces the fundamental principles, typical methods, and practical techniques of image processing and recognition. The book is divided into 12 chapters. Chapters 1 to 6 cover the foundational content of image processing and recognition, including an overview of image science, MATLAB-based image programming, image enhancement, image segmentation, feature extraction, and image recognition. Chapters 7 to 10 present engineering examples, covering applications such as medical image processing, text recognition, and path recognition for autonomous vehicles. These chapters also provide numerous MATLAB code programs combined with theoretical algorithms to help readers master how to use MATLAB for rapid simulation, debugging, and estimation of algorithms. Chapters 11 to 12 feature two comprehensive examples: a text recognition system based on neural networks implemented in Visual C++, and a license plate localization system. The accompanying CD-ROM provides source code for the examples cited in each chapter, along with 28 implementations of common digital image processing algorithms in Visual C++.