Название: Digital Image Processing and Analysis: Computer Vision and Image Analysis, 4th Edition
Автор: Scott E Umbaugh
Издательство: CRC Press
Год: 2023
Страниц: 441
Язык: английский
Формат: pdf (true)
Размер: 69.8 MB

Computer Vision and Image Analysis, focuses on techniques and methods for image analysis and their use in the development of computer vison applications. The field is advancing at an ever increasing pace, with applications ranging from medical diagnostics to space exploration. The diversity of applications is one of the driving forces that make it such an exciting field to be involved in for the 21st century. This book presents a unique engineering approach to the practice of computer vision and image analysis, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic. Topics are presented as they become necessary for understanding the practical imaging model under study, which provides the reader with the motivation to learn about and use the tools and methods being explored.

The book includes chapters on image systems and software, image analysis, edge, line and shape detection, image segmentation, feature extraction and pattern classification. Numerous examples, including over 500 color images are used to illustrate the concepts discussed. Readers can explore their own application development with any programming languages, including C/C++, MATLAB, Python, and R, and software is provided for both the Windows/C/C++ and MATLAB environments.

The primary reasons for a new edition of the book are (1) to create two separate volumes corresponding to each application area, (2) to include new material for the CVIPtools MATLAB Toolbox GUI, (3) to update the book for this rapidly changing field and (4) to add more examples and images. After many requests from CVIPtools users regarding the MATLAB version, we decided it is a good idea to expand the MATLAB version to include a graphical user interface (GUI), similar to the one in the standard Windows CVIPtools. Although there are a number of imaging tools currently available for use with MATLAB, we believe that there are important aspects of the CVIPtools libraries that are unique. The comprehensive nature of the libraries and the fact that they have been in use by the imaging community for over 25 years are important considerations which guided us in the decision to create the CVIP MATLAB Toolbox and its new GUI.

Who Will Use This Book?
Computer Vision and Image Analysis is intended for use by the academic community in teaching and research, as well as working professionals performing research and development in the commercial sectors. This includes all areas of computer vision and image analysis, and presents a computer vision system as a deployed image analysis system. It will be useful to academics and practicing engineers, consultants and programmers, as well as those in the graphics fields, medical imaging professionals, multimedia specialists and others. The book can be used for self-study and is of interest to anyone involved with developing computer vision applications, whether they are engineers, geographers, biologists, oceanographers or astronomers. At the university, it can be used as a text in standard computer vision senior-level or graduate course, or it may be used at any level in an applications-oriented course. One essential component that is missing from standard theoretical textbooks is a conceptual presentation of the material, which is fundamental to gaining a solid understanding of these complex topics. Additionally, this book provides the theory necessary to understand the foundations of computer vision, as well as that which is needed for new algorithm development.

The prerequisites for the book are an interest in the field, a basic background in computers and a basic math background provided in an undergraduate science or engineering program. Knowledge of the C family of programming languages, including C, C++ and C#, and/or MATLAB experience will be necessary for those intending to develop algorithms at the application level. The book is written so that readers without a complete engineering background can learn to use the tools and achieve a conceptual understanding of the material.




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