Genetic Learning for Adaptive Image Segmentation by Bir Bhanu
Genetic Learning for Adaptive Image Segmentation presents the first closed-loop image segmentation system that incorporates genetic and other algorithms to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions, such as time of day, time of year, weather, etc.-
Foundations of Knowledge Acquisition
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Satellite Communications
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Open Source GIS
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Nonholonomic Motion Planning
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A Pyramid Framework for Early Vision
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A General Model of Legged Locomotion on Natural Terrain
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Biometrics
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On-Chip ESD Protection for Integrated Circuits
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VHDL '92
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Any Time, Anywhere Computing
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Speech and Human-Machine Dialog
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Computer Analysis of Visual Textures
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Silicon-on-Insulator Technology
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Bayesian Approach to Image Interpretation
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Power Trade-offs and Low-Power in Analog CMOS ICs
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Analog VLSI Neural Networks
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Sigma Delta A/D Conversion for Signal Conditioning
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CMOS Current Amplifiers
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Adaptive Techniques for Mixed Signal System on Chip
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Wide-Bandwidth High Dynamic Range D/A Converters
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Color Theory and Modeling for Computer Graphics, Visualization, and Multimedia Applications
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Performance Evaluation and Applications of ATM Networks
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Dynamic Characterisation of Analogue-to-Digital Converters
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The Bounding Approach to VLSI Circuit Simulation
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Low-Power Low-Voltage Sigma-Delta Modulators in Nanometer CMOS
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Research Perspectives on Dynamic Translinear and Log-Domain Circuits
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High-Frequency Oscillator Design for Integrated Transceivers
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Methodology for the Digital Calibration of Analog Circuits and Systems
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Mixed-Signal Layout Generation Concepts
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Calibration Techniques in Nyquist A/D Converters
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Distortion Analysis of Analog Integrated Circuits
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Integrated Image and Graphics Technologies
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Modeling and Simulation of Mixed Analog-Digital Systems
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Design of Very High-Frequency Multirate Switched-Capacitor Circuits
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A High Performance Architecture for Prolog
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Robustness in Automatic Speech Recognition
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An Introduction to Error Correcting Codes with Applications
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Application Specific Processors
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Input/Output in Parallel and Distributed Computer Systems
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Multithreaded Processor Design
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Wireless Personal Communications
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Pipelined Lattice and Wave Digital Recursive Filters
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Object Orientation with Parallelism and Persistence
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Binary Decision Diagrams and Applications for VLSI CAD
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Multimedia Systems and Techniques
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Feedback-Based Orthogonal Digital Filters
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Client Data Caching
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Software Performability: From Concepts to Applications
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Human Interaction with Complex Systems
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Human Recognition at a Distance in Video
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Computer Vision Beyond the Visible Spectrum
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Distributed Video Sensor Networks
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Video Bioinformatics
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Human Ear Recognition by Computer
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Multibiometrics for Human Identification
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Deep Learning for Biometrics
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Evolutionary Synthesis of Pattern Recognition Systems
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Computational Algorithms for Fingerprint Recognition
| SKU | Unavailable |
| ISBN 13 | 9780792394914 |
| ISBN 10 | 0792394917 |
| Title | Genetic Learning for Adaptive Image Segmentation |
| Author | Bir Bhanu |
| Series | The Springer International Series In Engineering And Computer Science |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Kluwer Academic Publishers |
| Year published | 1994-09-30 |
| Number of pages | 271 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |