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Bayesian Approach to Image Interpretation

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Description:Bayesian Approach to Image Interpretation should interest anyone working in image interpretation. It is complete in itself and includes background material. This makes it useful for a novice as well as for an expert. It reviews some of the existing probabilistic methods for image interpretation and presents some new results. Additionally, there is extensive bibliography covering references in varied areas. For a researcher in this field, the material on synergistic integration of segmentation and interpretation modules and the Bayesian approach to image interpretation should be beneficial. For a practicing engineer, the procedure for generating knowledge base, selecting initial temperature for the simulated annealing algorithm, and some implementation issues should be valuable.; Ideas introduced in the book include: an approach to image interpretation using synergism between the segmentation and the interpretation modules; a segmentation algorithm based on multiresolution analysis; novel use of the Bayesian networks (causal networks) for image interpretation; and emphasis on making the interpretation approach less dependent on the knowledge base and hence more reliable by modeling the knowledge base in a probabilistic framework. Useful in both the academic and industrial research worlds, Bayesian Approach to Image Interpretation may also be used as a textbook for a semester course in computer vision or pattern recognition.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Bayesian Approach to Image Interpretation. To get started finding Bayesian Approach to Image Interpretation, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 127

Format: PDF, EPUB & Kindle Edition

Publisher: Springer

Release: 2009

ISBN: 1280205709

Description: Bayesian Approach to Image Interpretation should interest anyone working in image interpretation. It is complete in itself and includes background material. This makes it useful for a novice as well as for an expert. It reviews some of the existing probabilistic methods for image interpretation and presents some new results. Additionally, there is extensive bibliography covering references in varied areas. For a researcher in this field, the material on synergistic integration of segmentation and interpretation modules and the Bayesian approach to image interpretation should be beneficial. For a practicing engineer, the procedure for generating knowledge base, selecting initial temperature for the simulated annealing algorithm, and some implementation issues should be valuable.; Ideas introduced in the book include: an approach to image interpretation using synergism between the segmentation and the interpretation modules; a segmentation algorithm based on multiresolution analysis; novel use of the Bayesian networks (causal networks) for image interpretation; and emphasis on making the interpretation approach less dependent on the knowledge base and hence more reliable by modeling the knowledge base in a probabilistic framework. Useful in both the academic and industrial research worlds, Bayesian Approach to Image Interpretation may also be used as a textbook for a semester course in computer vision or pattern recognition.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Bayesian Approach to Image Interpretation. To get started finding Bayesian Approach to Image Interpretation, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Bayesian Approach to Image Interpretation

Bayesian Approach to Image Interpretation

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