A Concise Introduction to Image Processing using C++
Seiten
2008
Chapman & Hall/CRC (Verlag)
978-1-58488-897-0 (ISBN)
Chapman & Hall/CRC (Verlag)
978-1-58488-897-0 (ISBN)
- Titel z.Zt. nicht lieferbar
- Versandkostenfrei innerhalb Deutschlands
- Auch auf Rechnung
- Verfügbarkeit in der Filiale vor Ort prüfen
- Artikel merken
Written by experts in fractal-based image and video compression, this book strengthens readers’ knowledge of fundamentals principles in image acquisition, conservation, processing, and manipulation, improving their ability to apply these techniques in real-world problems. The book begins with coverage of representation, moves on to communication
Image recognition has become an increasingly dynamic field with new and emerging civil and military applications in security, exploration, and robotics. Written by experts in fractal-based image and video compression, A Concise Introduction to Image Processing using C++ strengthens your knowledge of fundamentals principles in image acquisition, conservation, processing, and manipulation, allowing you to easily apply these techniques in real-world problems.
The book presents state-of-the-art image processing methodology, including current industrial practices for image compression, image de-noising methods based on partial differential equations (PDEs), and new image compression methods, such as fractal image compression and wavelet compression. It begins with coverage of representation, and then moves on to communications and processing. It concludes with discussions of processing techniques based on image representations and transformations developed in earlier chapters. The accompanying downloadable resources contain code for all algorithms.
Suitable as a text for any course on image processing, the book can also be used as a self-study resource for researchers who need a concise and clear view of current image processing methods and coding examples. The authors introduce mathematical concepts with rigor suitable for readers with some background in calculus, algebra, geometry, and PDEs. All algorithms described are illustrated with code implementation and many images compare the results of different methods. The inclusion of C++ implementation code for each algorithm described enables students and practitioners to build up their own analysis tool.
Image recognition has become an increasingly dynamic field with new and emerging civil and military applications in security, exploration, and robotics. Written by experts in fractal-based image and video compression, A Concise Introduction to Image Processing using C++ strengthens your knowledge of fundamentals principles in image acquisition, conservation, processing, and manipulation, allowing you to easily apply these techniques in real-world problems.
The book presents state-of-the-art image processing methodology, including current industrial practices for image compression, image de-noising methods based on partial differential equations (PDEs), and new image compression methods, such as fractal image compression and wavelet compression. It begins with coverage of representation, and then moves on to communications and processing. It concludes with discussions of processing techniques based on image representations and transformations developed in earlier chapters. The accompanying downloadable resources contain code for all algorithms.
Suitable as a text for any course on image processing, the book can also be used as a self-study resource for researchers who need a concise and clear view of current image processing methods and coding examples. The authors introduce mathematical concepts with rigor suitable for readers with some background in calculus, algebra, geometry, and PDEs. All algorithms described are illustrated with code implementation and many images compare the results of different methods. The inclusion of C++ implementation code for each algorithm described enables students and practitioners to build up their own analysis tool.
Meiqing Wang, Choi-Hong Lai
Basic Concepts of Images. Fundamental Tools for Image Processing. Image Pre-Processing. Image Compression. Image Segmentation. Object Recognition. Mathematical Morphology.
Erscheint lt. Verlag | 21.11.2008 |
---|---|
Reihe/Serie | Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series |
Zusatzinfo | 70 Illustrations, black and white |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 660 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge | |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Umwelttechnik / Biotechnologie | |
ISBN-10 | 1-58488-897-0 / 1584888970 |
ISBN-13 | 978-1-58488-897-0 / 9781584888970 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
alles zum Drucken, Scannen, Modellieren
Buch | Softcover (2024)
Markt + Technik Verlag
24,95 €
Modelle für 3D-Druck und CNC entwerfen
Buch | Softcover (2022)
dpunkt (Verlag)
34,90 €