Buch, Englisch, 332 Seiten, Book w. online files / update, Format (B × H): 178 mm x 232 mm, Gewicht: 669 g
Core Algorithms
Buch, Englisch, 332 Seiten, Book w. online files / update, Format (B × H): 178 mm x 232 mm, Gewicht: 669 g
Reihe: Undergraduate Topics in Computer Science
ISBN: 978-1-84800-194-7
Verlag: Springer
This is the second volume of a book series that provides a modern, algori- mic introduction to digital image processing. It is designed to be used both by learners desiring a ?rm foundation on which to build and practitioners in search of critical analysis and modern implementations of the most important techniques. This updated and enhanced paperback edition of our compreh- sive textbook Digital Image Processing: An Algorithmic Approach Using Java packages the original material into a series of compact volumes, thereby s- porting a ?exible sequence of courses in digital image processing. Tailoring the contents to the scope of individual semester courses is also an attempt to p- vide a?ordable (and “backpack-compatible”) textbooks without comprimising the quality and depth of content. This second volume, titled Core Algorithms, extends the introductory - terial presented in the ?rst volume (Fundamental Techniques) with additional techniques that are, nevertheless, part of the standard image processing to- box. A forthcomingthird volume(Advanced Techniques) will extendthis series and add important material beyond the elementary level, suitable for an - vanced undergraduate or even graduate course.
Zielgruppe
Lower undergraduate
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
Weitere Infos & Material
Regions in Binary Images.- Detecting Simple Curves.- Corner Detection.- Color Quantization.- Colorimetric Color Spaces.- to Spectral Techniques.- The Discrete Fourier Transform in 2D.- The Discrete Cosine Transform DCT.- Geometric Operations.- Comparing Images.
