Patent ID: 9367765
Filing Date: 2016-06-14
CPC Classification: G06K,G06T

Claim Text:
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.