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 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 an upper bound along each of the n-axes of the unit hypercube, inversely transforming said upper bound to obtain a new rule containing one or more feature points of said one set, and removing the feature points contained by said new rule from said one set.

 
Web www.patentalert.com

< Image collating apparatus, image collating method, image collating program and computer readable recording medium recording image collating program

> System and method for authenticating objects using multiple-level encoding and decoding

> Image processing apparatus that can generate coded data applicable to progressive reproduction

~ 00509