Ebook: Image Processing Using Pulse-Coupled Neural Networks
- Tags: Signal Image and Speech Processing, Surfaces and Interfaces Thin Films, Applied Optics Optoelectronics Optical Devices, Biophysics/Biomedical Physics, Statistical Theory and Methods, Physics and Applied Physics in Engineering
- Year: 2005
- Publisher: Springer Berlin Heidelberg
- Language: English
- pdf
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.
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.
Content:
Front Matter....Pages I-XI
Introduction and Theory....Pages 1-10
Theory of Digital Simulation....Pages 11-34
Automated Image Object Recognition....Pages 35-67
Image Fusion....Pages 69-81
Image Texture Processing....Pages 83-92
Image Signatures....Pages 93-106
Miscellaneous Applications....Pages 107-141
Hardware Implementations....Pages 143-153
Back Matter....Pages 155-164
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.
Content:
Front Matter....Pages I-XI
Introduction and Theory....Pages 1-10
Theory of Digital Simulation....Pages 11-34
Automated Image Object Recognition....Pages 35-67
Image Fusion....Pages 69-81
Image Texture Processing....Pages 83-92
Image Signatures....Pages 93-106
Miscellaneous Applications....Pages 107-141
Hardware Implementations....Pages 143-153
Back Matter....Pages 155-164
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