Jahne | Practical Handbook on Image Processing for Scientific and Technical Applications, Second Edition | E-Book | sack.de
E-Book

E-Book, Englisch, 600 Seiten

Jahne Practical Handbook on Image Processing for Scientific and Technical Applications, Second Edition


2. Auflage 2004
ISBN: 978-0-8493-9030-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 600 Seiten

ISBN: 978-0-8493-9030-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Image processing is fast becoming a valuable tool for analyzing multidimensional data in all areas of natural science. Since the publication of the best-selling first edition of this handbook, the field of image processing has matured in many of its aspects from ad hoc, empirical approaches to a sound science based on established mathematical and physical principles.

The Practical Handbook on Image Processing for Scientific and Technical Applications, Second Edition builds a sound basic knowledge of image processing, provides a critically evaluated collection of the best algorithms, and demonstrates those algorithms with real-world applications from many fields. It covers all aspects of image processing, from image formation to image analysis, and gives an up-to-date review of advanced concepts. Organized according to the hierarchy of tasks, each chapter includes a summary, an outline of the background the task requires, and a section of practical tips that help you avoid common errors and save valuable research time.

New in the Second Edition:

- Expanded application areas now include technical fields such as the automotive industry, quality inspection, and materials science

- More practical tips in each chapter

- Discussion of digital camera interfaces and a comparison of CMOS vs. CCD cameras

- A section on wavelets

- Advanced techniques for reconstruction, new segmentation methods based on global optimization and anisotropic diffusion, and additional classification techniques, including neural networks, polynomial classification, and support vector machines

Just as digital image processing provides the key to studying complex scientific problems that researchers once could only dream of tackling, this handbook unlocks the intricacies of image processing and brings its power and potential within the grasp of researchers across the spectrum of scientific and engineering disciplines.

Jahne Practical Handbook on Image Processing for Scientific and Technical Applications, Second Edition jetzt bestellen!

Zielgruppe


Image processors; computer graphics technologists; electrical engineers; computer engineers; computer scientists


Autoren/Hrsg.


Weitere Infos & Material


INTRODUCTION
Highlights
From Drawings to Electronic Images
Geometric Measurements: Gauging and Counting
Radiometric Measurements: Revealing the Invisible
Depth Measurements: Exploring 3-D Space
Velocity Measurements: Exploring Dynamic Processes

TASKS AND TOOLS

From Objects to Images
Quantitative Visualization
Image Formation
Imaging Sensors
Digitalization and Quantization

Handling and Enhancing Images
Pixels
Geometry
Restoration and Reconstruction

From Images to Features
Neighborhoods
Regions
Edges and Lines
Orientation and Velocity
Scale and Texture

From Features To Objects
Segmentation
Size And Shape
Classification

APPENDICES
Notation
Mathematical Toolbox

GLOSSARY
BIBLIOGRAPHY
INDEX
COLOR PLATES85



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