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    • 7. 发明公开
    • CHOOSING ANATOMICAL VARIANT MODEL FOR IMAGE SEGMENTATION
    • 选择解剖变异模型进行图像分割
    • EP3244370A1
    • 2017-11-15
    • EP17171640.0
    • 2011-09-13
    • Koninklijke Philips N.V.Philips Intellectual Property & Standards GmbH
    • LORENZ, CristianBARSCHDORF, HansKLINDER, TobiasHANNA, Raghed
    • G06T7/00G06T7/12G06T15/08G06T17/00G06T7/149
    • The invention relates to a system (100) for segmenting an object in an image, comprising a first adapter (110) for adapting a first model for segmenting the object to the image, an analyzer (115) for extracting a feature from the image based on the adapted first model, a selector (120) for selecting a second model for segmenting the object from a plurality of models for segmenting the object, based on the feature extracted from the image, wherein the second model comprises additional detail of the object, an initializer (125) for initializing the second model based on the adapted first model and/or the feature extracted from the image, and a second adapter (130) for adapting the initialized second model to the image. The features extracted from the image based on the adapted first model help the system (100) to select the second model for segmenting the object from a plurality of models for segmenting the object. The adapted first model and/or the extracted features are also used for initializing the second model. Because the second model comprises the additional detail of the object, the segmentation result using the second model is more complete than the segmentation result obtained using the first model. Moreover, the initialization of the second model based on the adapted first model and/or the detected features improves the accuracy of the second model adaptation.
    • 本发明涉及一种用于分割图像中的对象的系统(100),包括:第一适配器(110),用于适配用于将对象分割成图像的第一模型;分析器(115),用于从基于图像的图像 在适应的第一模型上,基于从图像提取的特征,选择用于从用于分割对象的多个模型中分割对象的第二模型的选择器(120),其中第二模型包括对象的附加细节, 初始化器(125),用于基于修改的第一模型和/或从图像中提取的特征来初始化第二模型;以及第二适配器(130),用于使初始化的第二模型适应图像。 基于适应的第一模型从图像提取的特征帮助系统(100)选择第二模型用于从用于分割对象的多个模型中分割对象。 适应的第一模型和/或提取的特征也用于初始化第二模型。 由于第二个模型包含对象的额外细节,因此使用第二个模型的分割结果比使用第一个模型获得的分割结果更完整。 此外,基于适应的第一模型和/或检测到的特征的第二模型的初始化改善了第二模型适应的准确性。