Image Mode Recognition: VC++ Technology Implementation ()

Author: Li Shuying
Publisher:
Publish Date: 2005-07-01
Features:
· Perfect combination of principles and techniques
· New achievements in teaching and research
· Concise language, rich examples
· Strong operability, outstanding practicality
The accompanying CD-ROM provides source code for advanced algorithms such as genetic algorithms, neural networks, Bayesian methods, and fuzzy clustering, which are compilable and executable in VC++. This book introduces various algorithms of image pattern recognition and their programming implementation steps. The book is divided into 10 chapters, covering the following content:
Basic concepts of pattern recognition, bitmap fundamentals, classifier design, template matching classifiers, probability-based Bayes classifiers, geometric classifiers, neural network classifiers, image segmentation and feature extraction, cluster analysis, fuzzy cluster analysis, and genetic algorithm-based cluster analysis. This book is highly practical with innovative content, including new technologies such as neural networks, fuzzy set theory, and genetic algorithms. For each pattern recognition technique, the book is structured into three parts: theoretical foundation, implementation steps, and programming code. All algorithms are implemented using VC++, with simple program structures and concise code, making it easy for beginners to quickly master pattern recognition techniques. This book can serve as a textbook or teaching reference for undergraduate and graduate students in computer engineering, information engineering, biomedical engineering, intelligent robotics, industrial automation, and pattern recognition. It is also suitable for reference by relevant engineering professionals.