Image Processing using Pulse-Coupled Neural Networks
(Sprache: Englisch)
This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for...
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Produktinformationen zu „Image Processing using Pulse-Coupled Neural Networks “
This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the foundations of most image processing tasks, the use of PCNNs facilitates traditional tasks such as recognition, foveation, and image fusion. PCNN technology has also paved the way for new image processing techniques such as object isolation, spiral image fusion, image signatures, and content-based image searches. This volume contains examples of several image processing applications, as well as a review of hardware implementations.
Klappentext zu „Image Processing using Pulse-Coupled Neural Networks “
This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the foundations of most image processing tasks, the use of PCNNs facilitates traditional tasks such as recognition, foveation, and image fusion. PCNN technology has also paved the way for new image processing techniques such as object isolation, spiral image fusion, image signatures, and content-based image searches. This volume contains examples of several image processing applications, as well as a review of hardware implementations.
Inhaltsverzeichnis zu „Image Processing using Pulse-Coupled Neural Networks “
- Introduction- History
- The ICM
- Segmentation Applications
- Texture Analysis
- Signatures
- Image Similarity
- Image Shape Ontology
- Image Texture Ontology
- Motion Detection
- View Angle.
Autoren-Porträt von T. Lindblad, J. M. Kinser
Thomas Lindblad is a professor at the Royal Institute of Technology (Physics) in Stockholm. Working and teaching nuclear and environmental physics his main interest is with sensors, signal processing and intelligent data analysis of torrent data from experiments on-line accelerators, in space, etc.Jason Kinser is an associate professor at George Mason University. He has developed a plethora of image processing applications in the medical, military, and industrial fields. He has been responsible for the conversion of PCNN theory into practical applications providing many improvements in both speed and performance.
Bibliographische Angaben
- Autoren: T. Lindblad , J. M. Kinser
- 2005, 2nd ed., 210 Seiten, 140 Abbildungen, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 354024218X
- ISBN-13: 9783540242185
Sprache:
Englisch
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