{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:26:11Z","timestamp":1740147971325,"version":"3.37.3"},"reference-count":10,"publisher":"Wiley","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["1U54RR021813"],"award-info":[{"award-number":["1U54RR021813"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.1155\/2014\/383465","type":"journal-article","created":{"date-parts":[[2014,2,5]],"date-time":"2014-02-05T16:02:19Z","timestamp":1391616139000},"page":"1-7","source":"Crossref","is-referenced-by-count":3,"title":["Developing Image Processing Meta-Algorithms with Data Mining of Multiple Metrics"],"prefix":"10.1155","volume":"2014","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8892-7537","authenticated-orcid":true,"given":"Kelvin","family":"Leung","sequence":"first","affiliation":[{"name":"Intel Corporation, 3600 Julliette Ln., Mail Stop SC12-301, Santa Clara, CA 95054, USA"},{"name":"UCLA Computer Science Department, Los Angeles, CA 90095-1596, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandre","family":"Cunha","sequence":"additional","affiliation":[{"name":"Caltech Center for Advanced Computing Research (CACR), Pasadena, CA 91125, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. 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