Název: Efficient Semiautomatic Segmentation of Plant Biological Objects Based on Live-wire Methods
Autoři: Schoor, Wolfram
Seidl, Thomas
Bollenbeck, Felix
Seiffert, Udo
Preim, Bernhard
Mecke, Rüdiger
Citace zdrojového dokumentu: WSCG '2009: Communication Papers Proceedings: The 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 2 - 5, 2009, p. 109-116.
Datum vydání: 2009
Nakladatel: Václav Skala - UNION Agency
Typ dokumentu: conferenceObject
konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2009/Papers_2009/!_WSCG2009_Short_final.zip
http://hdl.handle.net/11025/11090
ISBN: 978-80-86943-94-7
Klíčová slova: počítačové vidění;interakce uživatele;metoda life-wire;biologické objekty
Klíčová slova v dalším jazyce: computer vision;user interaction;life-wire method;biological objects
Abstrakt: This paper presents a novel method for efficient semiautomatic multi-label segmentation of plant biological image data. The approach extends live-wire methods in order to facilitate exact user-steered segmentations for atlas generation. By integrating a segmentation-specific user interaction model into the live-wire formulation i) more exact segmentations, ii) increased computational efficiency, iii) without loss of generality are achieved. The concept of mutual influence of image feature based path costs and user input uncertainty are consistently combined. By incorporating user behavior into cost based delineation a more intuitive user interface is obtained also yielding in a more accurate segmentation. We introduce path-based methodologies, specific user interaction models and propose the combination of both of them. The purposefulness of the method is shown in an application comprising segmentation of histological section data supporting the generation of 3-D atlases.
Práva: © Václav Skala - UNION Agency
Vyskytuje se v kolekcích:WSCG '2009: Communication Papers Proceedings

Soubory připojené k záznamu:
Soubor Popis VelikostFormát 
Schoor.pdfPlný text3,55 MBAdobe PDFZobrazit/otevřít


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/11090

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.