Isbn: 9783847320807 - performance assessment of active contour models: for image segmentation (3 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2012

    3847320807 / 9783847320807

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    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    Condizione: Usato - Come nuovo

    EUR 121,32

    EUR 29,15 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibili

    Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2012

    3847320807 / 9783847320807

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    • Print on Demand

    Da: moluna, Greven, Germaniamoluna

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    Condizione: Nuovo

    EUR 41,67

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    Kartoniert / 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

    3847320807 / 9783847320807

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    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 70,99

    EUR 30,50 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. 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.