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Bayesian approach to image interpret...

Desai, Uday B.

Bayesian approach to image interpretation

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Bayesian approach to image interpretation/ Sunil K. Kopparapu, Uday B. Desai.
作者:	Kopparapu, Sunil K.
其他作者:	Desai, Uday B.
出版者:	Boston :Kluwer Academic Publishers,�001.
面頁冊數:	1 online resource (xiv, 127 pages) :illustrations.
標題:	Image processing - Digital techniques. -
電子資源:	Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:	0306469960
ISBN:	9780306469961
ISBN:	9780792373728
ISBN:	0792373723

Bayesian approach to image interpretation
Kopparapu, Sunil K.

Bayesian approach to image interpretation[electronic resource] /Sunil K. Kopparapu, Uday B. Desai. - Boston :Kluwer Academic Publishers,�001. - 1 online resource (xiv, 127 pages) :illustrations. - The Kluwer international series in engineering and computer science ;SECS 616. - Kluwer international series in engineering and computer science ;SECS 616..

Includes bibliographical references (pages 115-122) and index.

Bayesian Approach to Image Interpretation will 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 will be beneficial. For a practicing engineer, the procedure for generating knowledge base, selecting initial temperature for the simulated annealing algorithm, and some implementation issues will be valuable. New ideas introduced in the book include: New approach to image interpretation using synergism between the segmentation and the interpretation modules. A new segmentation algorithm based on multiresolution analysis. Novel use of the Bayesian networks (causal networks) for image interpretation. 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.

ISBN: 0306469960Subjects--Topical Terms:

148674
Image processing
--Digital techniques.Subjects--Index Terms:

Andre fag (naturvidenskab og teknik)Index Terms--Genre/Form:

172687
Electronic books.

LC Class. No.: TA1637 / .K66 2001eb

Dewey Class. No.: 621.36/7

Bayesian approach to image interpretation
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