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    • 3. 发明申请
    • CHOOSING ANATOMICAL VARIANT MODEL FOR IMAGE SEGMENTATION
    • 选择用于图像分割的解剖学变体模型
    • WO2012035488A1
    • 2012-03-22
    • PCT/IB2011/053991
    • 2011-09-13
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHLORENZ, CristianBARSCHDORF, HansKLINDER, TobiasHANNA, Raghed
    • LORENZ, CristianBARSCHDORF, HansKLINDER, TobiasHANNA, Raghed
    • G06T7/00
    • G06T7/0012G06T7/12G06T7/149G06T15/08G06T17/00G06T2207/30004
    • 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),包括用于适配用于将对象分割成图像的第一模型的第一适配器(110),用于从图像中提取特征的分析器(115) 在适配的第一模型上,基于从图像提取的特征,选择器(120),用于从多个模型中选择用于分割对象的第二模型,用于分割对象,其中第二模型包括对象的附加细节, 用于基于所述适配的第一模型和/或从所述图像提取的特征来初始化所述第二模型的初始化器(125)和用于将所述初始化的第二模型适配到所述图像的第二适配器(130)。 基于适配的第一模型从图像提取的特征帮助系统(100)选择用于从多个模型分割对象的第二模型以分割对象。 适应的第一模型和/或提取的特征也用于初始化第二模型。 因为第二模型包括对象的附加细节,所以使用第二模型的分割结果比使用第一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提高了第二模型适应的准确性。
    • 9. 发明申请
    • MESH COLLISION AVOIDANCE
    • MESH碰撞避免
    • WO2009125319A3
    • 2010-01-07
    • PCT/IB2009051392
    • 2009-04-02
    • KONINKL PHILIPS ELECTRONICS NVPHILIPS INTELLECTUAL PROPERTYKLINDER TOBIASWOLZ ROBIN M BFRANZ ASTRID RLORENZ CRISTIAN
    • KLINDER TOBIASWOLZ ROBIN M BFRANZ ASTRID RLORENZ CRISTIAN
    • G06T7/00
    • G06T7/0081G06T7/11G06T2207/10072G06T2207/10116G06T2207/30012
    • The invention relates to a system(100) for segmenting an object in image data using model-based image segmentation, the system comprising a feature unit (120) for identifying features in the image data for computing an external energy of a mesh on the basis of a current position of the mesh, wherein the feature unit (120) further comprises a candidate feature unit (122) for selecting a plurality of candidate features in the image data, for identifying a feature to be included in the features identified in the image data, a position unit (124) for determining a position of each candidate feature of the plurality of the candidate features relative to a region of the image data, a feature function unit (126) for computing a strength of each candidate feature, wherein the strength of each candidate feature depends on the position of each candidate feature relative to the region, and an evaluation unit (128) for evaluating each candidate feature of the plurality of candidate features and for identifying the feature among the plurality of candidate features based on this evaluation. Determining whether a selected candidate feature is located inside the region which should be avoided, e.g., inside another mesh adapted to another object in the image data, allows penalizing this candidate feature during the computation of the strength of each feature and thus during the evaluation of the plurality of candidate features.
    • 本发明涉及一种用于使用基于模型的图像分割来分割图像数据中的对象的系统(100),该系统包括用于识别图像数据中用于计算网格的外部能量的特征的特征单元(120) 所述特征单元还包括用于选择所述图像数据中的多个候选特征的候选特征单元(122),用于识别要包括在所述图像中标识的特征中的特征 数据,用于确定多个候选特征相对于图像数据的区域的每个候选特征的位置的位置单元(124),用于计算每个候选特征的强度的特征函数单元(126),其中, 每个候选特征的强度取决于每个候选特征相对于该区域的位置,以及评估单元(128),用于评估多个候选特征和fo中的每个候选特征 r基于该评估识别多个候选特征中的特征。 确定所选择的候选特征是否位于应该避免的区域内,例如,在图像数据中适应于另一物体的另一个网格内,允许在计算每个特征的强度期间惩罚该候选特征,并且因此在评估期间 多个候选特征。