Handbook of Computer Vision Algorithms in Image Algebra
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A01=Gerhard X. Ritter
A01=Joseph N. Wilson
advanced image processing for researchers
Author_Gerhard X. Ritter
Author_Joseph N. Wilson
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Binary Image
Boolean Image
Category=UYQV
Category=UYT
Cellular Automata
Chain Code
computer vision techniques
CONNECTED COMPONENT ALGORITHMS
Connected Components
Convolution Product
digital
Discrete Cosine Transform
Distance Transform
Edge Magnitude
End Loop
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Exemplar Pattern
gray
Haar Transform
Hopfield Net
Hough Transform
IEEE Transaction
IFS
Image Algebra
image analysis methods
Input Image
level
mathematical morphology
Medial Axis Transform
Moore Neighborhood
neighborhood
neumann
neural network applications
pattern recognition systems
pixel
processing
source
Source Image
spatial transformation algorithms
Unsharp Masking
von
Walsh Transform
Wavelet Transform
Product details
- ISBN 9780849300752
- Weight: 979g
- Dimensions: 178 x 254mm
- Publication Date: 21 Sep 2000
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise representation of computer vision algorithms.
Updated to reflect recent developments and advances, the second edition continues to provide an outstanding introduction to image algebra. It describes more than 80 fundamental computer vision techniques and introduces the portable iaC++ library, which supports image algebra programming in the C++ language. Revisions to the first edition include a new chapter on geometric manipulation and spatial transformation, several additional algorithms, and the addition of exercises to each chapter.
The authors-both instrumental in the groundbreaking development of image algebra-introduce each technique with a brief discussion of its purpose and methodology, then provide its precise mathematical formulation. In addition to furnishing the simple yet powerful utility of image algebra, the Handbook of Computer Vision Algorithms in Image Algebra supplies the core of knowledge all computer vision practitioners need. It offers a more practical, less esoteric presentation than those found in research publications that will soon earn it a prime location on your reference shelf.
Joseph N. Wilson, Gerhard X. Ritter
