Patent ID: 8965116
Filing Date: 2015-02-24
Classification: G01N,G06K,G06T

Abstract:
1. A method comprising: executing rating software on a computer to extract features from each of a plurality of training images by computing a numerical descriptor for each of the training images from pixel values of the respective training image; processing the numerical descriptors of the training images with the rating software to automatically select a representative subset of the training images; performing a first clustering process with the rating software to process the numerical descriptors of the representative subset of the training images and compute a plurality of image clusters for the representative subset of training images; receiving input from at least one of a user or the computer assigning an individual rating label to each of the plurality of image clusters for each of a specified classes of defects, for each of the image clusters, automatically propagating, with the rating software, each of the individual rating labels assigned to the classes of defects for the image cluster to all of the training images within that image cluster.