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    • 2. 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。
    • 4. 发明申请
    • ADAPTIVE POINT-BASED ELASTIC IMAGE REGISTRATION
    • 自适应点弹性图像注册
    • WO2007072451A3
    • 2008-02-14
    • PCT/IB2006054991
    • 2006-12-21
    • PHILIPS INTELLECTUAL PROPERTYKONINKL PHILIPS ELECTRONICS NVFRANZ ASTRIDCARLSEN INGWER-CURT
    • FRANZ ASTRIDCARLSEN INGWER-CURT
    • G06T7/00
    • G06K9/6211G06K9/32G06T7/33
    • A point-based elastic registration method for registering a first image and a second image. A number of prominent feature are identified within the first image using a SIFT algorithm (S1). Then, a single control point is placed (S2) with the source image region at the most prominent SIFT feature and optimal parameter settings in respect thereof are determined (S3) for performing elastic deformation (S4) in respect of the first image so as to optimise a similarity measure. Additional control points are then added (S6) one-by-one at the next most prominent SIFT features, and the elastic deformation process repeated each time (S8) in respect of the new control point set, until a predetermined stopping criterion is met, e.g. the resultant improvement in the similarity measure no longer exceeds some predetermined threshold value. Thus, a high speed, high quality registration method is provided without having to specify the number of control points initially.
    • 一种用于登记第一图像和第二图像的基于点的弹性登记方法。 使用SIFT算法在第一图像内识别出许多突出特征(S1)。 然后,放置单个控制点(S2),源图像区域处于最突出的SIFT特征,并且确定相对于第一图像执行弹性变形(S4)的最佳参数设置(S3),以便 优化相似性度量。 然后在下一个最突出的SIFT特征中逐个添加附加的控制点(S6),并且相对于新的控制点集合每次重复(S8)弹性变形过程,直到满足预定的停止标准, 例如 所得到的相似性度量的改善不再超过某个预定阈值。 因此,提供高速,高质量的登记方法,而不必首先指定控制点的数量。
    • 5. 发明申请
    • ADAPTIVE POINT-BASED ELASTIC IMAGE REGISTRATION
    • 自适应点弹性图像注册
    • WO2007072451A2
    • 2007-06-28
    • PCT/IB2006/054991
    • 2006-12-21
    • PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHKONINKLIJKE PHILIPS ELECTRONICS N.V.FRANZ, AstridCARLSEN, Ingwer-Curt
    • FRANZ, AstridCARLSEN, Ingwer-Curt
    • G06T7/00
    • G06K9/6211G06K9/32G06T7/33
    • A point-based elastic registration method for registering a first image and a second image. A number of prominent feature are identified within the first image using a SIFT algorithm (S1). Then, a single control point is placed (S2) with the source image region at the most prominent SIFT feature and optimal parameter settings in respect thereof are determined (S3) for performing elastic deformation (S4) in respect of the first image so as to optimise a similarity measure. Additional control points are then added (S6) one-by-one at the next most prominent SIFT features, and the elastic deformation process repeated each time (S8) in respect of the new control point set, until a predetermined stopping criterion is met, e.g. the resultant improvement in the similarity measure no longer exceeds some predetermined threshold value. Thus, a high speed, high quality registration method is provided without having to specify the number of control points initially.
    • 一种用于登记第一图像和第二图像的基于点的弹性登记方法。 使用SIFT算法在第一图像内识别出许多突出特征(S1)。 然后,放置单个控制点(S2),源图像区域处于最突出的SIFT特征,并且确定相对于第一图像执行弹性变形(S4)的最佳参数设置(S3),以便 优化相似性度量。 然后在下一个最突出的SIFT特征中逐个添加附加的控制点(S6),并且相对于新的控制点集合每次重复(S8)弹性变形过程,直到满足预定的停止标准, 例如 所得到的相似性度量的改善不再超过某个预定阈值。 因此,提供高速,高质量的登记方法,而不必首先指定控制点的数量。
    • 6. 发明申请
    • MESH COLLISION AVOIDANCE
    • MESH碰撞避免
    • WO2009125319A2
    • 2009-10-15
    • PCT/IB2009/051392
    • 2009-04-02
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHKLINDER, TobiasWOLZ, Robin, M., B.FRANZ, Astrid, R.LORENZ, Cristian
    • KLINDER, TobiasWOLZ, Robin, M., B.FRANZ, Astrid, R.LORENZ, Cristian
    • G06T7/00A61B5/00
    • 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。