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Mathematical statistics --- Image processing --- Image reconstruction --- Chebyshev approximation --- Digital techniques --- Statistical methods --- Image processing - Digital techniques --- Image processing - Statistical methods

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The inexpensive collection, storage, and transmission of vast amounts of visual data has revolutionized science, technology, and business. Innovations from various disciplines have aided in the design of intelligent machines able to detect and exploit useful patterns in data. One such approach is statistical learning for pattern analysis. Among the various technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and important approach, and is the area which has undergone the most rapid development in recent years. Above all, it provides a unifying theoretical framework for applications of visual pattern analysis. This unique textbook/reference provides a comprehensive overview of theories, methodologies, and recent developments in the field of statistical learning and statistical analysis for visual pattern modeling and computing. The book describes the solid theoretical foundation, provides a complete summary of the latest advances, and presents typical issues to be considered in making a real system for visual information processing. Features: • Provides a broad survey of recent advances in statistical learning and pattern analysis with respect to the two principal problems of representation and computation in visual computing • Presents the fundamentals of statistical pattern recognition and statistical learning via the general framework of a statistical pattern recognition system • Discusses pattern representation and classification, as well as concepts involved in supervised learning, semi-statistical learning, and unsupervised learning • Introduces the supervised learning of visual patterns in images, with a focus on supervised statistical pattern analysis, feature extraction and selection, and classifier design • Covers visual pattern analysis in video, including methodologies for building intelligent video analysis systems, critical aspects of motion analysis, and multi-target tracking formulation for video • Includes an in-depth discussion of information processing in the cognitive process, embracing a new scheme of association memory and a new architecture for an artificial intelligent system with attractors of chaos This complete guide to developing intelligent visual information processing systems is rich in examples, and will provide researchers and graduate students in computer vision and pattern recognition with a self-contained, invaluable and useful resource on the topic.

Image processing --Statistical methods. --- Pattern recognition systems. --- Pattern recognition systems --- Image processing --- Electrical Engineering --- Computer Science --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Statistical methods --- Statistical methods. --- Pattern classification systems --- Pattern recognition computers --- Pictorial data processing --- Picture processing --- Processing, Image --- Computer science. --- Multimedia information systems. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Multimedia Information Systems. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Imaging systems --- Optical data processing --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Informatics --- Science --- Digital techniques --- Pattern perception --- Computer vision --- Optical pattern recognition. --- Computer vision. --- Multimedia systems. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Perceptrons --- Visual discrimination --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment

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This second edition of G. Winkler's successful book on random field approaches to image analysis, related Markov Chain Monte Carlo methods, and statistical inference with emphasis on Bayesian image analysis concentrates more on general principles and models and less on details of concrete applications. Addressed to students and scientists from mathematics, statistics, physics, engineering, and computer science, it will serve as an introduction to the mathematical aspects rather than a survey. Basically no prior knowledge of mathematics or statistics is required. The second edition is in many parts completely rewritten and improved, and most figures are new. The topics of exact sampling and global optimization of likelihood functions have been added.

Stochastic processes --- Image processing --- Markov random fields --- Monte Carlo method --- Monte-Carlo, Méthode de --- Statistical methods --- beeldanalyse --- Probabilities. --- Optical data processing. --- Numerical analysis. --- Computer simulation. --- Radiology. --- Statistics . --- Probability Theory and Stochastic Processes. --- Image Processing and Computer Vision. --- Numerical Analysis. --- Simulation and Modeling. --- Imaging / Radiology. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Radiological physics --- Physics --- Radiation --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Mathematical analysis --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Optical equipment --- Image processing - Statistical methods