System and method for a contiguous support vector machine

摘要

A method of classifying features in digitized images includes providing a plurality of feature points in an n-dimensional space, wherein said feature points have been extracted from a digitized medical image, formulating a support vector machine to classify said feature point into one of two sets, wherein each said feature classification vector is transformed by an adjacency matrix defined by those points that are nearest neighbors of said feature, and solving said support vector machine by a linear optimization algorithm to determine a classifying plane that separates the feature vectors into said two sets.