公开(公告)号：EP2279482B1

公开(公告)日：2018-03-07

申请号：EP09746220.4

申请日：2009-05-08

申请人： Koninklijke Philips N.V. ,  Philips Intellectual Property & Standards GmbH

发明人： QIAN, Yuechen ,  GELLER, Dieter ,  KNESER, Reinhard ,  SEVENSTER, Merlijn ,  VAN OMMERING, Robbert, C. ,  TULIPANO, Paola, K.

IPC分类号： G06K9/62

CPC分类号： G06K9/6267 ,  G06K2209/05 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/30041

摘要： The invention relates to a system (100) for classifying image data on the basis of a model for adapting to an object in the image data, the system comprising a segmentation unit (110) for segmenting the image data by adapting the model to the object in the image data and a classification unit (120) for assigning a class to the image data on the basis of the model adapted to the object in the image data, thereby classifying the image data, wherein the classification unit (120) comprises an attribute unit (122) for computing a value of an attribute of the model on the basis of the model adapted to the object in the image data, and wherein the assigned class is based on the computed value of the attribute. Thus, the system (100) of the invention is capable of classifying the image data without any user input. All inputs required for classifying the image data 10 constitute a model for adapting to an object in the image data. A person skilled in the art will understand however that in some embodiments of the system (100), a limited number of user inputs may be enabled to let the user influence and control the system and the classification process.

公开(公告)号：EP2279482A1

公开(公告)日：2011-02-02

申请号：EP09746220.4

申请日：2009-05-08

申请人： Koninklijke Philips Electronics N.V. ,  Philips Intellectual Property & Standards GmbH

发明人： QIAN, Yuechen ,  GELLER, Dieter ,  KNESER, Reinhard ,  SEVENSTER, Merlijn ,  VAN OMMERING, Robbert, C. ,  TULIPANO, Paola, K.

IPC分类号： G06K9/62

CPC分类号： G06K9/6267 ,  G06K2209/05 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/30041

摘要： The invention relates to a system (100) for classifying image data on the basis of a model for adapting to an object in the image data, the system comprising a segmentation unit (110) for segmenting the image data by adapting the model to the object in the image data and a classification unit (120) for assigning a class to the image data on the basis of the model adapted to the object in the image data, thereby classifying the image data, wherein the classification unit (120) comprises an attribute unit (122) for computing a value of an attribute of the model on the basis of the model adapted to the object in the image data, and wherein the assigned class is based on the computed value of the attribute. Thus, the system (100) of the invention is capable of classifying the image data without any user input. All inputs required for classifying the image data 10 constitute a model for adapting to an object in the image data. A person skilled in the art will understand however that in some embodiments of the system (100), a limited number of user inputs may be enabled to let the user influence and control the system and the classification process.

摘要翻译： 本发明涉及一种用于根据用于适应图像数据中的对象的模型对图像数据进行分类的系统（100），该系统包括分割单元（110），用于通过将模型适配到对象来分割图像数据 在所述图像数据中，以及分类单元（120），用于基于所述图像数据中适合于所述对象的模型将类分配给所述图像数据，从而对所述图像数据进行分类，其中所述分类单元（120）包括属性 单元（122），用于基于适于图像数据中的对象的模型来计算模型的属性的值，并且其中所分配的类基于所计算的属性值。 因此，本发明的系统（100）能够对没有任何用户输入的图像数据进行分类。 用于分类图像数据10所需的所有输入构成用于适应图像数据中的对象的模型。 然而，本领域技术人员将理解，在系统（100）的一些实施例中，可以使有限数量的用户输入能够使用户影响和控制系统和分类过程。