
Image Processing using Pulse-Coupled Neural Networks by Thomas Lindblad
Image processing algorithms based on the mammalian visual cortex are powerful tools for extraction information and manipulating images. Applications are given in areas of image recognition, foveation, image fusion and information extraction.-
Physics of the Human Body
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Biomedical Optical Sensors
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Biomimetic Membranes for Sensor and Separation Applications
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Biophysics of DNA-Protein Interactions
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The Physics of Proteins
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Protein Folding and Misfolding
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Optical Coherence Tomography
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Laser Technology in Biomimetics
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Applications of Synchrotron Radiation
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Biophysics of Human Hair
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Biomimetics -- Materials, Structures and Processes
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Microarray Technology and Its Applications
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Micro-Segmented Flow
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Medical Applications of Nuclear Physics
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Biomaterials
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Biomedical Image Processing
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Biological Systems under Extreme Conditions
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Point-of-Care Diagnostics on a Chip
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4D Modeling and Estimation of Respiratory Motion for Radiation Therapy
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Membrane Biophysics
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Towards Practical Brain-Computer Interfaces
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Fundamentals of Cryobiology
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Nanoneuroscience
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Biomedical Optical Imaging Technologies
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Emerging Raman Applications and Techniques in Biomedical and Pharmaceutical Fields
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Water and Biomolecules
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Thin Films and Coatings in Biology
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Ion Beam Therapy
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Epilepsy as a Dynamic Disease
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Biomechanics of the Brain
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Computer Simulation and Data Analysis in Molecular Biology and Biophysics
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Artificial Sight
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Computational Modeling of Biological Systems
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Targeted Cancer Therapy in Biomedical Engineering
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Computational Methods for Protein Structure Prediction and Modeling
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Implantable Neural Prostheses 2
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Radiation Damage in Biomolecular Systems
Jason M Kinser, DSc, has been an associate professor at George Mason University for more than 18 years teaching courses in physics, computational science, bioinformatics and forensic science. Recently, he converted the traditional university physics course into an active learning technology environment at GMU. His research interests include modern teaching techniques, more effective methods in text-based education, image operators and analysis, pulse image processing and multi-domain data analysis. This book was born from a desire to engage students in physics education and to find ways of reducing the external costs that both students and institutions incur within the traditional education framework.Jason M Kinser, DSc, has been an associate professor at George Mason University for more than 18 years teaching courses in physics, computational science, bioinformatics and forensic science. Recently, he converted the traditional university physics course into an active learning technology environment at GMU. His research interests include modern teaching techniques, more effective methods in text-based education, image operators and analysis, pulse image processing and multi-domain data analysis. This book was born from a desire to engage students in physics education and to find ways of reducing the external costs that both students and institutions incur within the traditional education framework.
| SKU | Unavailable |
| ISBN 13 | 9783642368769 |
| ISBN 10 | 364236876X |
| Title | Image Processing using Pulse-Coupled Neural Networks |
| Author | Thomas Lindblad |
| Series | Biological And Medical Physics Biomedical Engineering |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer |
| Year published | 2013-05-29 |
| Number of pages | 238 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |




































