Digital Image Processing and Analysis

Digital image processing and analysis is a field that continues to experience rapid growth, with a diversity of applications ranging from areas such as space exploration to the entertainment industry. The field can be divided into two primary application areas, human vision and computer vision, with [...]
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Digital image processing and analysis is a field that continues to experience rapid growth, with a diversity of applications ranging from areas such as space exploration to the entertainment industry. The field can be divided into two primary application areas, human vision and computer vision, with image analysis tying the two together. Although this book focuses on image processing and analysis, the image analysis part does provide the reader with the tools necessary for developing computer vision applications. The automatic identification of land types in satellites images, robotic control of a mars rover and the automatic classification of abnormalities in medical images are examples of computer vision applications. Human vision applications involve manipulation of image data for viewing by people, such as the development of better compression algorithms, special effects imaging for motion pictures, and the restoration of satellite images distorted by atmospheric disturbance. An introduction for students as well as a tutorial to update practicing professionals, this new edition of Computer Imaging is retitled to reflect the field's rapid development.More comprehensive and adding color throughout, this edition continues to take the engineering approach that sets it apart from other texts. It combines image processing and analysis into a unified framework, a useful paradigm for human and computer vision applications. Its applications-oriented nature is enhanced by coverage of new software tools that are integrated into the CVIPtools development environment: the CVIP Algorithm Test and Analysis Tool and the CVIP Feature Extraction and Pattern Classification Tool, which accompany the book on CD-ROM. The new Windows versions of these tools allow their users to realize a much more powerful development environment. They are integrated even more throughout the book than the previous edition to create a valuable environment for learning about imaging as well as providing a set of reusable tools for applications development. The following are new to this edition. It uses color throughout and adds more materials on the processing of color images. It reorganizes, updates, expands and adds more materials that make it more useful as an applications-oriented textbook including supplementary exercises. It adds a new chapter on applications.It develops two new major tools that allow for batch processing, the analysis of imaging algorithms, and the overall research and development of imaging applications. "Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools" 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 area of digital image processing and analysis, both human and computer vision applications. The book requires only a fundamental background in computers and the basic math background provided in an undergraduate science or engineering program. Knowledge of the C, C++ or C# programming language will be necessary for those intending to develop algorithms at the programming level. Some background in signal and system theory is required for those intending to gain a deep understanding of the sections on transforms and compression. However, the book is written so that those without this background can learn to use the tools and achieve a conceptual understanding of the material.The author takes an approach to learning that presents topics as needed. This approach 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. The book is divided into five major parts. The first part contains all of the basic concepts and definitions necessary to understand digital image processing. The second part describes image analysis and provides the tools, concepts and models required to analyze digital images and develop computer vision applications. Part III discusses topics and application areas for the processing of images for human consumption, so it starts with a chapter on visual perception. Each chapter includes numerous references and examples for the material presented The programming and applications development contained in the fourth section details all the necessary information required to use the CVIPtools environment for algorithm development. This section also includes information to assist with the implementation of the programming exercises included with each chapter.It provides a chapter on using the new development tools and examples of applications that have been developed in the past few years. The appendices contain reference material for use with CVIPtools, as well as other useful computer imaging related information.