Digital image processing with C++ : implementing reference algorithms with the CImg library / David Tschumperle, Christophe Tilmant and Vincent Barra.
Material type:
- text
- unmediated
- volume
- 9781032347523
- 9781032347530
- 005.133 TSC 2023 23/eng/20221006
- TA1637 .T83 2023
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Symbiosis International University, Dubai | 005.133 TSC 2023 (Browse shelf(Opens below)) | 1 | Available | SIU00122 | ||
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Symbiosis International University, Dubai | 005.133 TSC 2023 (Browse shelf(Opens below)) | 2 | Available | SIU00123 |
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005.133 SKL 2016 Learning PHP : a gentle introduction to the Web's most popular language / | 005.133 SUM 2010 Programming in Python 3 : a complete introduction to the Python language / | 005.133 TSC 2023 Digital image processing with C++ : implementing reference algorithms with the CImg library / | 005.133 TSC 2023 Digital image processing with C++ : implementing reference algorithms with the CImg library / | 005.133 TSE 2022 Introduction to C++ / | 005.133 TSE 2022 Introduction to C++ / | 005.14 JON 2017 Quantifying software : global and industry perspectives / |
Includes bibliographical references and index.
"Digital Image Processing with C++ presents the theory of digital image processing, and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language, using the free and easy-to-use CImg library. Chapters cover in a broad way the field of digital image processing and proposes practical and functional implementations of each method theoretically described. The main topics covered include filtering in spatial and frequency domains, mathematical morphology, feature extraction and applications to segmentation, motion estimation, multispectral image processing and 3D visualization. Students or developers wishing to discover or specialize in this discipline, teachers and researchers wishing to quickly prototype new algorithms, or develop courses, will all find in this book material to discover image processing or deepen their knowledge in this field"-- Provided by publisher.
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