Digital image processing with C++: implementing reference algorithms with the CImg Library
Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library 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 extractin...
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| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2023
|
| Ausgabe: | First edition |
| Schlagworte: | |
| Zusammenfassung: | Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library 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 the field of digital image processing in a broad way and propose 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 and teachers and researchers hoping 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 |
| Beschreibung: | I INTRODUCTION TO Clmg; 1. Introduction. 2. Getting Started With the CImg Library. 2.1 Objective: subdivide an image into blocks. 2.2 Setup and first program. 2.3 Computing the variations. 2.4 Computing the block decomposition. 2.5 Rendering of the decomposition. 2.6 Interactive visualization. 2.7 Final source code ; II IMAGE PROCESSING USING CImg; 3. Point Processing Transformations. 3.1 Image operations. 3.2 Histogram operations. 4. Mathematical Morphology. 4.1 Binary images. 4.2 Gray-level images. 4.3 Some applications. 5. Filtering. 5.1 Spatial filtering. 5.2 Recursive filtering. 5.3 Frequency filtering. 5.4 Diffusion filtering. 6. Feature Extraction. 6.1 Points of interest. 6.2 Hough transform. 6.3 Texture features. 7. Segmentation. 7.1 Edge-based approaches. 7.2 Region-based approaches. 8. Motion Estimation. 8.1 Optical flow: dense motion estimation. 8.2 Sparse estimation. 9. Multispectral Approaches. 9.1 Dimension reduction. 9.2 Color imaging. 10. 3D Visualisation. 10.1 Structuring of 3D mesh objects. 10.2 3D plot of a function z = f (x;y). 10.3 Creating complex 3D objects. 10.4 Visualization of a cardiac segmentation in MRI. 11. And So Many Other Things. 11.1 Compression by transform (JPEG). 11.2 Tomographic reconstruction. 11.3 Stereovision. 11.4 Interactive deformation using RBF. ; List of CImg Codes.; References.; Index. |
| Beschreibung: | xvi, 292 Seiten Illustrationen, Diagramme 566 grams |
| ISBN: | 9781032347523 9781032347530 |
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| 500 | |a I INTRODUCTION TO Clmg; 1. Introduction. 2. Getting Started With the CImg Library. 2.1 Objective: subdivide an image into blocks. 2.2 Setup and first program. 2.3 Computing the variations. 2.4 Computing the block decomposition. 2.5 Rendering of the decomposition. 2.6 Interactive visualization. 2.7 Final source code ; II IMAGE PROCESSING USING CImg; 3. Point Processing Transformations. 3.1 Image operations. 3.2 Histogram operations. 4. Mathematical Morphology. 4.1 Binary images. 4.2 Gray-level images. 4.3 Some applications. 5. Filtering. 5.1 Spatial filtering. 5.2 Recursive filtering. 5.3 Frequency filtering. 5.4 Diffusion filtering. 6. Feature Extraction. 6.1 Points of interest. 6.2 Hough transform. 6.3 Texture features. 7. Segmentation. 7.1 Edge-based approaches. 7.2 Region-based approaches. 8. Motion Estimation. 8.1 Optical flow: dense motion estimation. 8.2 Sparse estimation. 9. Multispectral Approaches. 9.1 Dimension reduction. 9.2 Color imaging. 10. 3D Visualisation. 10.1 Structuring of 3D mesh objects. 10.2 3D plot of a function z = f (x;y). 10.3 Creating complex 3D objects. 10.4 Visualization of a cardiac segmentation in MRI. 11. And So Many Other Things. 11.1 Compression by transform (JPEG). 11.2 Tomographic reconstruction. 11.3 Stereovision. 11.4 Interactive deformation using RBF. ; List of CImg Codes.; References.; Index. | ||
| 520 | |a Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library 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 the field of digital image processing in a broad way and propose 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 and teachers and researchers hoping 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 | ||
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| physical | xvi, 292 Seiten Illustrationen, Diagramme 566 grams |
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| spelling | Tschumperlé, David Verfasser aut Digital image processing with C++ implementing reference algorithms with the CImg Library David Tschumperlé, Christophe Tilmant, Vincent Barra First edition Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2023 xvi, 292 Seiten Illustrationen, Diagramme 566 grams txt rdacontent n rdamedia nc rdacarrier I INTRODUCTION TO Clmg; 1. Introduction. 2. Getting Started With the CImg Library. 2.1 Objective: subdivide an image into blocks. 2.2 Setup and first program. 2.3 Computing the variations. 2.4 Computing the block decomposition. 2.5 Rendering of the decomposition. 2.6 Interactive visualization. 2.7 Final source code ; II IMAGE PROCESSING USING CImg; 3. Point Processing Transformations. 3.1 Image operations. 3.2 Histogram operations. 4. Mathematical Morphology. 4.1 Binary images. 4.2 Gray-level images. 4.3 Some applications. 5. Filtering. 5.1 Spatial filtering. 5.2 Recursive filtering. 5.3 Frequency filtering. 5.4 Diffusion filtering. 6. Feature Extraction. 6.1 Points of interest. 6.2 Hough transform. 6.3 Texture features. 7. Segmentation. 7.1 Edge-based approaches. 7.2 Region-based approaches. 8. Motion Estimation. 8.1 Optical flow: dense motion estimation. 8.2 Sparse estimation. 9. Multispectral Approaches. 9.1 Dimension reduction. 9.2 Color imaging. 10. 3D Visualisation. 10.1 Structuring of 3D mesh objects. 10.2 3D plot of a function z = f (x;y). 10.3 Creating complex 3D objects. 10.4 Visualization of a cardiac segmentation in MRI. 11. And So Many Other Things. 11.1 Compression by transform (JPEG). 11.2 Tomographic reconstruction. 11.3 Stereovision. 11.4 Interactive deformation using RBF. ; List of CImg Codes.; References.; Index. Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library 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 the field of digital image processing in a broad way and propose 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 and teachers and researchers hoping 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 bicssc / Software Engineering bicssc / Environmental science, engineering & technology bicssc / Electrical engineering bicssc / Probability & statistics bicssc / Image processing bicssc / Programming & scripting languages - general bicssc / Information technology - general issues bisacsh / COMPUTERS / Languages / C++ bisacsh / COMPUTERS / Programming / Algorithms bisacsh / COMPUTERS / Software Development & Engineering / Computer Graphics bisacsh / COMPUTERS / Data Science / General bisacsh / COMPUTERS / Programming / General bisacsh / COMPUTERS / Computer Science bisacsh / COMPUTERS / General bisacsh / BUSINESS & ECONOMICS / Statistics bisacsh / COMPUTERS / Programming / Games bisacsh / COMPUTERS / Languages / General bisacsh / TECHNOLOGY & ENGINEERING / Imaging Systems Tilmant, Christophe Verfasser aut Barra, Vincent Verfasser aut Erscheint auch als Online-Ausgabe 978-1-003-32369-3 |
| spellingShingle | Tschumperlé, David Tilmant, Christophe Barra, Vincent Digital image processing with C++ implementing reference algorithms with the CImg Library bicssc / Software Engineering bicssc / Environmental science, engineering & technology bicssc / Electrical engineering bicssc / Probability & statistics bicssc / Image processing bicssc / Programming & scripting languages - general bicssc / Information technology - general issues bisacsh / COMPUTERS / Languages / C++ bisacsh / COMPUTERS / Programming / Algorithms bisacsh / COMPUTERS / Software Development & Engineering / Computer Graphics bisacsh / COMPUTERS / Data Science / General bisacsh / COMPUTERS / Programming / General bisacsh / COMPUTERS / Computer Science bisacsh / COMPUTERS / General bisacsh / BUSINESS & ECONOMICS / Statistics bisacsh / COMPUTERS / Programming / Games bisacsh / COMPUTERS / Languages / General bisacsh / TECHNOLOGY & ENGINEERING / Imaging Systems |
| title | Digital image processing with C++ implementing reference algorithms with the CImg Library |
| title_auth | Digital image processing with C++ implementing reference algorithms with the CImg Library |
| title_exact_search | Digital image processing with C++ implementing reference algorithms with the CImg Library |
| title_exact_search_txtP | Digital image processing with C++ implementing reference algorithms with the CImg Library |
| title_full | Digital image processing with C++ implementing reference algorithms with the CImg Library David Tschumperlé, Christophe Tilmant, Vincent Barra |
| title_fullStr | Digital image processing with C++ implementing reference algorithms with the CImg Library David Tschumperlé, Christophe Tilmant, Vincent Barra |
| title_full_unstemmed | Digital image processing with C++ implementing reference algorithms with the CImg Library David Tschumperlé, Christophe Tilmant, Vincent Barra |
| title_short | Digital image processing with C++ |
| title_sort | digital image processing with c implementing reference algorithms with the cimg library |
| title_sub | implementing reference algorithms with the CImg Library |
| topic | bicssc / Software Engineering bicssc / Environmental science, engineering & technology bicssc / Electrical engineering bicssc / Probability & statistics bicssc / Image processing bicssc / Programming & scripting languages - general bicssc / Information technology - general issues bisacsh / COMPUTERS / Languages / C++ bisacsh / COMPUTERS / Programming / Algorithms bisacsh / COMPUTERS / Software Development & Engineering / Computer Graphics bisacsh / COMPUTERS / Data Science / General bisacsh / COMPUTERS / Programming / General bisacsh / COMPUTERS / Computer Science bisacsh / COMPUTERS / General bisacsh / BUSINESS & ECONOMICS / Statistics bisacsh / COMPUTERS / Programming / Games bisacsh / COMPUTERS / Languages / General bisacsh / TECHNOLOGY & ENGINEERING / Imaging Systems |
| topic_facet | bicssc / Software Engineering bicssc / Environmental science, engineering & technology bicssc / Electrical engineering bicssc / Probability & statistics bicssc / Image processing bicssc / Programming & scripting languages - general bicssc / Information technology - general issues bisacsh / COMPUTERS / Languages / C++ bisacsh / COMPUTERS / Programming / Algorithms bisacsh / COMPUTERS / Software Development & Engineering / Computer Graphics bisacsh / COMPUTERS / Data Science / General bisacsh / COMPUTERS / Programming / General bisacsh / COMPUTERS / Computer Science bisacsh / COMPUTERS / General bisacsh / BUSINESS & ECONOMICS / Statistics bisacsh / COMPUTERS / Programming / Games bisacsh / COMPUTERS / Languages / General bisacsh / TECHNOLOGY & ENGINEERING / Imaging Systems |
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