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 More computer ebooks Networking Image Processing Using Pulse Coupled Neural Networks (Second Revised Edition)
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 1 - Introduction and Theory1.1 General Aspects 1.2 The State of Traditional Image Processing 1.3 Visual Cortex Theory 2 - Theory of Digital Simulation 2.1 The Pulse-Coupled Neural Network 2.2 The ICM – A Generalized Digital Model 3 - Automated Image Object Recognition 3.1 Important Image Features 3.2 Image Segmentation – A Red Blood Cell Example 3.3 Image Segmentation – A Mammography Example 4 - Image Fusion 4.1 The Multi-spectral Model 4.2 Pulse-Coupled Image Fusion Design 4.3 A Colour Image Example 5 - Image Texture Processing 5.1 Pulse Spectra 5.2 Statistical Separation of the Spectra 5.3 Recognition Using Statistical Methods 6 - Image Signatures 6.1 Image Signature Theory 6.2 The Signatures of Objects 6.3 The Signatures of Real Images 7 - Miscellaneous Applications 7.1 Foveation 7.2 Histogram Driven Alterations 7.3 Maze Solutions 8 - Hardware Implementations 8.1 Theory of Hardware Implementation 8.2 Implementation on a CNAPs Processor 8.3 Implementation in VLSI Download free ebook on networking: Image Processing Using Pulse Coupled Neural Networks
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