Multi-sensor image fusion and its applications / edited by Rick S. Blum and Zheng Liu.
Series: Signal processing and communications ; 25Publisher: Boca Raton, FL : Taylor & Francis, 2006Description: xv, 505 p. : ill. ; 24 cmISBN: 0849334179 (alk. paper)Subject(s): Telecommunication EngineeringDDC classification: 621.367,MUL Online resources: Publisher description| Item type | Current location | Home library | Shelving location | Call number | URL | Status | Notes | Date due | Barcode | Item holds |
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Reference
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Military College of Signals (MCS) | Military College of Signals (MCS) | Reference | 621.367,MUL (Browse shelf) | Link to resource | Not for loan | Almirah No.20, Shelf No.5 | MCS32467 |
Browsing Military College of Signals (MCS) shelves, Shelving location: Reference Close shelf browser
| 621.367,MID Hexagonal image processing : a practical approach / | 621.367,MIN Fractal imaging / | 621.367,MUL Multispectral image processing and pattern recognition / | 621.367,MUL Multi-sensor image fusion and its applications / | 621.367,NIX Feature extraction and image processing / | 621.367,PAR Algorithms for image processing and computer vision / (Include CD) | 621.367,PRA Wavelet analysis with applications to image processing / |
An Overview of Image Fusion (Page-1), Mutual Information Based Image Registration with Application to 3D Medical Brain Imagery (Page-37), Studies of Registration and Fusion of Retinal Images (Page-57), No rigid MR/US Registration for Tracking Brain Deformations (Page-107), Multisensory Data Inversion and Fusion Based on Shared Image Structure (Page-145), Entropic Graphs for Registration (Page-185), Fusion of Images from Different Eletro-Optical Sensing Modalities for Surveillance and Navigation Tasks (Page-237), A Statistical Signal Processing Approach to Image Fusion using Hidden Markov Models (Page-265).
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