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Image understanding in unstructured environment /

In the development of autonomous sensory controlled systems, image understanding of sensory data is a difficult but important topic. Due to the unpredictable and uncertain nature of the environment, current image processing and computer vision approaches are not adequate to provide the capabilities...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Chen, Su-shing
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; Teaneck, N.J. : World Scientific, ©1988.
Colección:Series in automation ; vol. 2.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Image understanding in unstructured environment /  |c editor, Su-shing Chen. 
260 |a Singapore ;  |a Teaneck, N.J. :  |b World Scientific,  |c ©1988. 
300 |a 1 online resource (vii, 208 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Series in automation,  |x 0218-0197 ;  |v vol. 2 
505 0 |a A knowledge-based information manager for autonomous vehicles / Thomas M. Strat and Grahame B. Smith -- Plausible reasoning in classification problem solving / Lashon B. Booker -- A region correspondence approach to the recovery of 3-dimensional motion and structure in dynamic scenes / Seetharaman Gunasekaran and Tzay Y. Young -- Spherical analysis in computer vision and image understanding / Michael A. Penna and Su-shing Chen -- Spatial information processing-understanding remote sensing images / Mingchuan Zhang and Su-shing Chen. 
504 |a Includes bibliographical references. 
520 |a In the development of autonomous sensory controlled systems, image understanding of sensory data is a difficult but important topic. Due to the unpredictable and uncertain nature of the environment, current image processing and computer vision approaches are not adequate to provide the capabilities needed by the systems. Thus, new approaches are required in the overall system design, including sophisticated reasoning processes, uncertainty management and adaptable architectures. This general issue is addressed by Thomas M Strat and Grahame B Smith. Lashon B Booker discusses the Bayesian approach in plausible reasoning for classification of complex ship images based on incomplete and uncertain evidence. Dynamic scene analysis is treated by Seetharaman Gunasekaran and Tzay Y Young. A spherical perspective approach is introduced to overcome some limitations of the current vision systems by Michael Penna and Su-shing Chen. Finally, Markov image models and their pixel-level approaches are extended to global approaches, through Dempster-Shafer and other techniques, by Mingchuan Zhang and Su-shing Chen. 
588 0 |a Print version record. 
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650 0 |a Image processing  |x Digital techniques. 
650 0 |a Computer vision. 
650 6 |a Traitement d'images  |x Techniques numériques. 
650 6 |a Vision par ordinateur. 
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650 7 |a Image processing  |x Digital techniques.  |2 fast  |0 (OCoLC)fst00967508 
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650 7 |a Bildverarbeitung  |2 gnd 
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700 1 |a Chen, Su-shing. 
776 0 8 |i Print version:  |t Image understanding in unstructured environment.  |d Singapore ; Teaneck, N.J. : World Scientific, ©1988  |z 9971504774  |w (DLC) 88005466  |w (OCoLC)17549350 
830 0 |a Series in automation ;  |v vol. 2.  |x 0218-0197 
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