发明名称 Method and apparatus for automatic detection of features in an image and method for training the apparatus
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.
申请公布号 US9367765(B2) 申请公布日期 2016.06.14
申请号 US201214362717 申请日期 2012.12.05
申请人 UNIVERSITY OF LINCOLN 发明人 Duckett Thomas Dollings
分类号 G06K9/62;G06T7/00 主分类号 G06K9/62
代理机构 Michael Best & Friedrich LLP 代理人 Michael Best & Friedrich LLP
主权项 1. A method of training an apparatus for automatically detecting features of interest in an image, the method comprising: receiving an image of at least one object for inspection, each image comprising a plurality of pixels; segmenting the image into a plurality of superpixels, each superpixel comprising a plurality of pixels which each have similar image data attributes to one another; classifying the superpixels into at least two classes in response to user input identifying at least one feature of interest in one or more of the superpixels; determining, from a library of image data attributes, a subset of image data attributes that provides preferential discrimination between the at least two classes; providing the determined subset of image data attributes to a user; modifying which of the at least two classes one or more of the superpixels are classified as in response to further user input; determining, from the library of image data attributes, a final subset of image data attributes that provides preferential discrimination between the modified at least two classes; and training the apparatus using said determined final subset of image data attributes to thereby enable the apparatus to automatically classify superpixels of an image into the at least two classes.
地址 Lincoln GB