Applied Pattern Recognition: A Practical Introduction to Image and Speech Processing in C++

This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. For this 3rd edition, new features of the C++ language were integrated and their relevance for image and speech processing is discussed. The description of the STL library was extended and STL is now used in many places in the book. The chapters 23 and 24 can now be used to build complete systems and give hints for further extensions. The book is divided into four parts. After an introduction to programming and software engineering, the required basics of image and speech processing are given. Statistics and mathematics is explained as required. The second part threats C++ as an object-oriented language and introduces it through examples. In the third part the examples of the first and second part are combined to form an image segmentation and word recognition system. All relevant features of the C++ language are thus introduced with direct relation to the tasks in image and speech processing. * Methods for software development tailored to applications in pattern processing* Basics of image and speech processing* Software development tools* Mathematical tools* Implementation in C++* Filters for signals (images and speech)* Edge and line detection* Spectral speech features* Pattern classification* Statistical models