Image processing using pulse coupled neural networks * Weitere Angaben Verfasser: 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 This is the first&nbsp;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&nbsp;several image processing applications as well as a review of hardware implementations. TOC:Introduction. History. The ICM. Segmentation Applications. Texture Analysis. Signatures. Image Similarity. Image Shape Ontology. Image Texture Ontology. Motion Detection. View Angle