Patent ID: 7840048

Claim:
A method for determining whether there is an anomaly in data, comprising: performing one of applying a nonlinear divergence transform to the data, mapping the data to a predetermined color space using a first nonlinear transformation and mapping the data to a feature space using a second nonlinear transformation to yield altered data, wherein the nonlinear divergence transform, first nonlinear transformation and second nonlinear transformation each comprises at least one point operation having at least one nodal point that is adjusted so as to effect the divergence of a feature of interest from other features; and comparing the altered data with a template of altered data created from a set of data not containing the anomaly to determine whether there is a difference between the altered data and the template, said difference corresponding to said anomaly; wherein the template of altered data is created by applying one of the nonlinear divergence transform to the set of data, mapping the set of data to the predetermined color space using the first nonlinear transformation and mapping the set of data to the feature space using the second nonlinear transformation.