TY  - BOOK
AU  - Lindblad,T.
AU  - Kinser,J.M.
ED  - SpringerLink (Online service)
TI  - Image Processing Using Pulse-Coupled Neural Networks
SN  - 9783540282938
AV  - TK5102.9 
U1  - 621.382 23
PY  - 2005///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Physical optics
KW  - Biomedical engineering
KW  - Mathematical statistics
KW  - Surfaces (Physics)
KW  - Signal, Image and Speech Processing
KW  - Surfaces and Interfaces, Thin Films
KW  - Applied Optics, Optoelectronics, Optical Devices
KW  - Biophysics/Biomedical Physics
KW  - Statistical Theory and Methods
KW  - Physics and Applied Physics in Engineering
N1  - and Theory -- Theory of Digital Simulation -- Automated Image Object Recognition -- Image Fusion -- Image Texture Processing -- Image Signatures -- Miscellaneous Applications -- Hardware Implementations
N2  - 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
UR  - http://dx.doi.org/10.1007/3-540-28293-9
ER  -