SYSTEM AND METHOD FOR FEATURE IDENTIFICATION IN DIGITAL IMAGES BASED ON RULE EXTRACTION

摘要

A method for classifying features in a digital medical image includes providing a plurality of feature points in an N-dimensional space, wherein each feature point is a member of one of two sets, determining a classifying plane that separates feature points in a first of the two sets from feature points in a second of the two sets, transforming (32) the classifying plane wherein a normal vector to said transformed classifying plane has positive coefficients and a feature domain for one or more feature points of one set is a unit hypercube in a transformed space having n axes, obtaining (33) an upper bound along each of the n-axes of the unit hypercube, inversely transforming (34) said upper bound to obtain a new rule containing one or more feature points of said one set, and removing (35) the feature points contained by said new rule from said one set