Cover image for Multispectral Image Processing and Pattern Recognition.
Multispectral Image Processing and Pattern Recognition.
Title:
Multispectral Image Processing and Pattern Recognition.
Author:
Shen, Jun.
ISBN:
9789812797599
Personal Author:
Physical Description:
1 online resource (135 pages)
Series:
Series in Machine Perception and Artificial Intelligence ; v.44

Series in Machine Perception and Artificial Intelligence
Contents:
CONTENTS -- Introduction -- 3D Articulated Object Understanding Learning and Recognition from 2D Images -- 1. INTRODUCTION -- 2. ANALYSIS METHODOLOGIES AND EXPERIMENTS -- 3. DISCUSSIONS CONCLUSION AND FUTURE RESEARCH -- REFERENCES -- On Geometric and Orthogonal Moments -- 1. INTRODUCTION -- 2. GEOMETRIC LEGENDRE AND HERMITE MOMENTS AND THEIR CALCULATION -- 3. COMPARISON OF SPATIAL BEHAVIOR OF GEOMETRIC LEGENDRE AND HERMITE MOMENTS -- 4. BEHAVIOR OF GEOMETRIC HERMITE AND LEGENDRE MOMENTS IN FREQUENCY DOMAIN -- 5. GAUSSIAN-HERMITE MOMENTS AND ORTHOGONALITY EQUIVALENCE THEOREM -- 6. CONCLUDING REMARKS -- REFERENCES -- Multispectral Image Processing: The Nature Factor -- 1. INTRODUCTION -- 2. MULTISPECTRAL IMAGE PROCESSING -- 3. IMAGE PROCESSING TOOLS -- 4. THE NATURE FACTOR -- 5. DEPTH VERSUS MOTION CUES -- 6. NAVIGATION -- 7. CONCLUSIONS -- REFERENCES -- Detection of Sea Surface Small Targets in Infrared Images Based on Multilevel Filter and Minimum Risk Bayes Test -- 1. INTRODUCTION -- 2. ANALYSIS OF TARGET AND BACKGROUND CHARACTERISTICS AND MODELING -- 3. MULTILEVEL FILTER FOR TARGET ENHANCEMENT -- 4. OPTIMUM THRESHOLD REAL-TIME ESTIMATE AND TARGET DETECTION -- 5. EXPERIMENTAL RESULTS AND CONCLUSION -- REFERENCES -- Minimum Description Length Method for Facet Matching -- 1. INTRODUCTION -- 2. MDL FOR A FACET -- 3. MODEL FITTING -- 4. RESULTS -- 5. CONCLUSION -- REFERENCES -- An Integrated Vision System for ALV Navigation -- 1. INTRODUCTION -- 2. 2D VISION -- 3. 3D VISION -- 4. FUSING OF 2D AND 3D INFORMATION -- 5. HARDWARE ARCHITECTURE -- 6. CONCLUSION -- REFERENCES -- Fuzzy Bayesian Networks - A General Formalism for Representation Inference and Learning with Hybrid Bayesian Networks -- 1. INTRODUCTION.

2. FUZZY BAYESIAN NETWORKS AS APPROXIMATE REPRESENTATION OF HYBRID BAYESIAN NETWORKS -- 3. A HYBRID JUNCTION TREE INFERENCE ALGORITHM FOR THE FORM-I FUZZY BAYESIAN NETWORKS -- 4. AN AUGMENTED HYBRID JUNCTION TREE INFERENCE ALGORITHM FOR THE FORM-II FUZZY BAYESIAN NETWORKS -- 5. SOME THOUGHTS ON LEARNING FUZZY BAYESIAN NETWORKS FROM DATA -- 6. CONCLUSION -- REFERENCES -- Extraction of Bibliography Information Based on Image of Book Cover -- 1. INTRODUCTION -- 2. PREPROCESSING -- 3. COLOR SPACE SEGMENTATION -- 4. TEXT REGION EXTRACTION AND CLASSIFICATION -- 5. EXPERIMENT AND RESULTS -- 6. CONCLUSION AND DISCUSSION -- REFERENCES -- Radar Target Recognition Based on Parameterized High Resolution Range Profiles -- 1. INTRODUCTION -- 2. DATA MODEL AND EXTRACTION OF PHRRP'S -- 3. GENERALIZED-WEIGHTED-NORMALIZED CORRELATION (GWNC) -- 4. EXPERIMENTAL RESULTS -- 5. CONCLUSIONS -- REFERENCES.
Abstract:
Contents: Introduction (J Shen et al.); 3D Articulated Object Understanding, Learning, and Recognition from 2D Images (P S P Wang); On Geometric and Orthogonal Moments (J Shen et al.); Multispectral Image Processing: The Nature Factor (W R Watkins); Detection of Sea Surface Small Targets in Infrared Images Based on Multilevel Filter and Minimum Risk Bayes Test (Y-S Moon et al.); Minimum Description Length Method for Facet Matching (S Maybank & R Fraile); An Integrated Vision System for ALV Navigation (X Ye et al.); Fuzzy Bayesian Networks - A General Formalism for Representation, Inference and Learning with Hybrid Bayesian Networks (H Pan & L Liu); Extraction of Bibliography Information Based on Image of Book Cover (H Yang et al.); Radar Target Recognition Based on Parameterized High Resolution Range Profiles (X Liao & Z Bao). Readership: Computer scientists and electrical engineers.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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