Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools, Second Edition

Scott E Umbaugh

November 19, 2010 by CRC Press
Textbook - 977 Pages - 1172 Color & 1172 B/W Illustrations
ISBN 9781439802052 - CAT# K10112


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  • Combines image processing and analysis into the unified framework that is necessary for understanding both human and computer vision applications
  • Integrates theoretical material with an engineering approach
  • Uses color throughout and adds more materials on the processing of color images
  • Includes a new chapter on applications
  • Develops and includes on CD-ROM two new major Computer Vision and Image Processing (CVIP) tools that allow for batch processing, the analysis of imaging algorithms, and the overall research and development of imaging applications
  • Meets the needs of both digital image processing and computer vision courses, as well those of professional engineers in need of a practical self-tutorial to update their knowledge

A solutions manual and an ancillary CD with PowerPoint lecture slides are available to instructors with qualifying course adoption.


Whether for computer evaluation of otherworldly terrain or the latest high definition 3D blockbuster, digital image processing involves the acquisition, analysis, and processing of visual information by computer and requires a unique skill set that has yet to be defined a single text. Until now.

Taking an applications-oriented, engineering approach, Digital Image Processing and Analysis provides the tools for developing and advancing computer and human vision applications and brings image processing and analysis together into a unified framework.

Providing information and background in a logical, as-needed fashion, the author presents topics as they become necessary for understanding the practical imaging model under study. He offers a conceptual presentation of the material for a solid understanding of complex topics and discusses the theory and foundations of digital image processing and the algorithm development needed to advance the field.

With liberal use of color through-out and more materials on the processing of color images than the previous edition, this book provides supplementary exercises, a new chapter on applications, and two major new tools that allow for batch processing, the analysis of imaging algorithms, and the overall research and development of imaging applications. It includes two new software tools, the Computer Vision and Image Processing Algorithm Test and Analysis Tool (CVIP-ATAT) and the CVIP Feature Extraction and Pattern Classification Tool (CVIP-FEPC).

Divided into five major sections, this book provides the concepts and models required to analyze digital images and develop computer vision and human consumption applications as well as all the necessary information to use the CVIPtools environment for algorithm development, making it an ideal reference tool for this fast growing field.

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