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1. 发明授权

US09367765B2 Method and apparatus for automatic detection of features in an image and method for training the apparatus 有权
标题翻译：用于自动检测图像中的特征的方法和装置以及用于训练该装置的方法
公开(公告)号：US09367765B2
公开(公告)日：2016-06-14
申请号：US14362717
申请日：2012-12-05
申请人： UNIVERSITY OF LINCOLN
发明人： Thomas Dollings Duckett
IPC分类号： G06K9/62 , G06T7/00
CPC分类号： G06K9/6228 , G06K9/6231 , G06K9/6234 , G06K9/6256 , G06K9/6263 , G06K9/6267 , G06K9/628 , G06T7/0008
摘要： In one or more embodiments described herein, there is provided a method of training an apparatus. The method trains the apparatus to automatically detect features of interest in an image. An image is received, the image being of at least one object for inspection, each image comprising a plurality of pixels. The image is segmented into a plurality of superpixels, each superpixel comprising a plurality of pixels which each have similar image data attributes to one another. The superpixels are classified into at least two classes in response to user input identifying at least one feature of interest in one or more of the super-pixels. From a library of image data attributes, a subset of image data attributes is determined that provides preferential discrimination between the at least two classes. The apparatus is then trained using said determined subset of image data attributes to thereby enable the apparatus to classify super-pixels of an image into the at least two classes.
摘要翻译：在本文所述的一个或多个实施例中，提供了一种训练装置的方法。该方法训练该装置以自动检测图像中感兴趣的特征。接收图像，该图像是至少一个用于检查的对象，每个图像包括多个像素。图像被分割成多个超像素，每个超像素包括多个像素，每个像素彼此具有相似的图像数据属性。响应于用户输入识别出一个或多个超像素中的至少一个感兴趣特征，将超像素分类为至少两个类别。从图像数据属性库中，确定提供至少两个类之间的优先区别的图像数据属性的子集。然后使用所确定的图像数据属性的子集训练该装置，从而使得装置能够将图像的超像素分类为至少两个类别。

2. 发明申请

US20140294239A1 METHOD AND APPARATUS FOR AUTOMATIC DETECTION OF FEATURES IN AN IMAGE AND METHOD FOR TRAINING THE APPARATUS 有权
标题翻译：用于自动检测图像中的特征的方法和装置以及用于训练装置的方法
公开(公告)号：US20140294239A1
公开(公告)日：2014-10-02
申请号：US14362717
申请日：2012-12-05
申请人： UNIVERSITY OF LINCOLN
发明人： Thomas Dollings Duckett
IPC分类号： G06K9/62 , G06T7/00
CPC分类号： G06K9/6228 , G06K9/6231 , G06K9/6234 , G06K9/6256 , G06K9/6263 , G06K9/6267 , G06K9/628 , G06T7/0008
摘要： In one or more embodiments described herein, there is provided a method of training an apparatus. The method trains the apparatus to automatically detect features of interest in an image. An image is received, the image being of at least one object for inspection, each image comprising a plurality of pixels. The image is segmented into a plurality of superpixels, each superpixel comprising a plurality of pixels which each have similar image data attributes to one another. The superpixels are classified into at least two classes in response to user input identifying at least one feature of interest in one or more of the super-pixels. From a library of image data attributes, a subset of image data attributes is determined that provides preferential discrimination between the at least two classes. The apparatus is then trained using said determined subset of image data attributes to thereby enable the apparatus to classify super-pixels of an image into the at least two classes.
摘要翻译：在本文所述的一个或多个实施例中，提供了一种训练装置的方法。该方法训练该装置以自动检测图像中感兴趣的特征。接收图像，该图像是至少一个用于检查的对象，每个图像包括多个像素。图像被分割成多个超像素，每个超像素包括多个像素，每个像素彼此具有相似的图像数据属性。响应于用户输入识别出一个或多个超像素中的至少一个感兴趣特征，将超像素分类为至少两个类别。从图像数据属性库中，确定提供至少两个类之间的优先区别的图像数据属性的子集。然后使用所确定的图像数据属性的子集训练该装置，从而使得装置能够将图像的超像素分类为至少两个类别。

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