Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2012
ISBN 10: 3847320807 ISBN 13: 9783847320807
Da: preigu, Osnabrück, Germania
EUR 43,30
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Performance Assessment of Active Contour Models | for image segmentation | Hum Yan Chai (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783847320807 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847320807 ISBN 13: 9783847320807
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 120,53
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847320807 ISBN 13: 9783847320807
Da: moluna, Greven, Germania
EUR 41,67
Quantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yan Chai Humis a present researcher in the field of biomedical engineering. He is working as a research member in Centre for Biomedical Engineering in Universiti Teknologi Malaysia(UTM). His research interests are Digital X-Ray imag.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2012
ISBN 10: 3847320807 ISBN 13: 9783847320807
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,59
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image segmentation is one of the significant techniques in image processing to distinguish desired parts from its background for further analysis. It provides visual means for inspection of anatomical structure of human body, identification of disease, tracking of its development and input for surgical planning and simulation. Active contour models are regarded as promising and vigorously research model-based approach to computer assisted medical image analysis. However, it is not trivial to assess whether one segmentation algorithm performs more superior than the other. Therefore, a systematic assessment tool is designed and implemented to examine all the important aspects of active contour models. Meanwhile, a novel supervised evaluator including analytical method and empirical methods are proposed to acts as objective evaluator. The obtained results highlighted both the strengths and limitations of the studied active contour models.