title: Developing image processing meta-algorithms with data mining of multiple metrics.
abstract: People often use multiple metrics in image processing, but here we take a novel approach of mining the values of batteries of metrics on image processing results. We present a case for extending image processing methods to incorporate automated mining of multiple image metric values. Here by a metric we mean any image similarity or distance measure, and in this paper we consider intensity-based and statistical image measures and focus on registration as an image processing problem. We show how it is possible to develop meta-algorithms that evaluate different image processing results with a number of different metrics and mine the results in an automated fashion so as to select the best results. We show that the mining of multiple metrics offers a variety of potential benefits for many image processing problems, including improved robustness and validation.
authors.affiliation: Intel Corporation, 3600 Julliette Ln., Mail Stop SC12-301, Santa Clara, CA 95054, USA ; UCLA Computer Science Department, Los Angeles, CA 90095-1596, USA.
authors.forename: Kelvin
authors.identifier: 0000-0001-8892-7537
authors.initials: K
authors.lastname: Leung
authors.affiliation: Caltech Center for Advanced Computing Research (CACR), Pasadena, CA 91125, USA.
authors.forename: Alexandre
authors.initials: A
authors.lastname: Cunha
authors.affiliation: USC Laboratory of Neuroimaging (LONI), Los Angeles, CA 90007, USA.
authors.forename: A W
authors.initials: AW
authors.lastname: Toga
authors.affiliation: UCLA Computer Science Department, Los Angeles, CA 90095-1596, USA.
authors.forename: D Stott
authors.initials: DS
authors.lastname: Parker
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D057225:Data Mining / Q000379:methods*; D016208:Databases, Factual; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008490:Medical Informatics / Q000379:methods; D010363:Pattern Recognition, Automated; D012984:Software