Invention Grant
US09367765B2 Method and apparatus for automatic detection of features in an image and method for training the apparatus 有权
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

  • Patent Title: Method and apparatus for automatic detection of features in an image and method for training the apparatus
  • Patent Title (中): 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
  • Application No.: US14362717
    Application Date: 2012-12-05
  • Publication No.: US09367765B2
    Publication Date: 2016-06-14
  • Inventor: Thomas Dollings Duckett
  • Applicant: UNIVERSITY OF LINCOLN
  • Applicant Address: GB Lincoln
  • Assignee: UNIVERSITY OF LINCOLN
  • Current Assignee: UNIVERSITY OF LINCOLN
  • Current Assignee Address: GB Lincoln
  • Agency: Michael Best & Friedrich LLP
  • Priority: GB1120865.9 20111205
  • International Application: PCT/GB2012/053019 WO 20121205
  • International Announcement: WO2013/083972 WO 20130613
  • Main IPC: G06K9/62
  • IPC: G06K9/62 G06T7/00
Method and apparatus for automatic detection of features in an image and method for training the apparatus
Abstract:
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.
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