Digital image processing and analysis [Book] : human and computer vision applications with CVIPtools / author, Scott E Umbaugh.
Material type: TextPublication details: Boca Raton : Taylor & Francis, 2011.Edition: 2nd edDescription: xxi, 955 p. : ill. (some col.) ; 27 cm. + 1CD-ROM (4 3/4in.)ISBN:- 9781439802052 (alk. paper)
- 006.3 7 22
- 006.37
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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Books | Junaid Zaidi Library, COMSATS University Islamabad Ground Floor | 006.37 UMB-D (Browse shelf(Opens below)) | Available | 43680 | ||
Books | Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor | 621.31922 OVE (Browse shelf(Opens below)) | Available | 55599 | ||
Books | Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor | 621.31922 OVE (Browse shelf(Opens below)) | Available | 55600 |
"A CRC title."
Rev. ed. of: Computer vision and image processing / Scott E. Umbaugh. 1998.
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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