Patent ID: 6687397
Filing Date: 2004-02-03
Classification: G06K,G06T,H05K,Y10S

Abstract:
A method for dynamic image recognition for making determinations about regions of interest on an object using an image recognition computer program contained in computer-readable form on a tangible storage medium, comprising the steps of executing the image recognition computer program to:acquire a raw gray level image of the object comprising a set of raw pixels, each raw pixel having a gray level value; derive at least five distinct spaces by executing the image recognition software to: derive a reduced zero order magnitude space; derive a reduced first order magnitude space; derive a first order direction space; derive a reduced second order magnitude space; and derive a second order direction space; cluster the raw pixel images for each distinct space based on a set of clustering rules; and generate a set of generated features for each region of interest in each distinct space, each generated feature having an arbitrary geometry; load a knowledge base containing a set of stored features and past decision confidences for each region of interest for each derived space for the object to be imaged; score each generated feature for each region of interest on each of the derived spaces; classify each generated feature for presence/absence or polarity; calculate decision confidence for each generated feature; and calculate a relative decision confidence for each generated feature to provide a metric that compares the decision confidence for each generated feature to past decision confidences for the corresponding stored feature contained in the knowledge base; if the relative decision confidence is outside of a predetermined window, classify the generated feature as a defect; and perform an extended relative confidence analysis to subclassify the defect.