title: Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization.
abstract: Automatic detection of suspicious pain regions is very useful in the medical digital infrared thermal imaging research area. To detect those regions, we use the SOFES (Survival Of the Fitness kind of the Evolution Strategy) algorithm which is one of the multimodal function optimization methods. We apply this algorithm to famous diseases, such as a foot of the glycosuria, the degenerative arthritis and the varicose vein. The SOFES algorithm is available to detect some hot spots or warm lines as veins. And according to a hundred of trials, the algorithm is very fast to converge.
authors.affiliation: Biomedical Engineering Department, University of Yonsei, Gangwon, Republic of Korea. yoon@ yonsei.ac.kr
authors.forename: Junghoon
authors.initials: J
authors.lastname: Lee
authors.forename: Joosung
authors.initials: J
authors.lastname: Lee
authors.forename: Sangha
authors.initials: S
authors.lastname: Song
authors.forename: Hyunsook
authors.initials: H
authors.lastname: Lee
authors.forename: Kyoungjoung
authors.initials: K
authors.lastname: Lee
authors.forename: Youngro
authors.initials: Y
authors.lastname: Yoon
mesh_terms: D000465:Algorithms; D004867:Equipment Design; D006358:Hot Temperature; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007259:Infrared Rays; D008297:Male; D010146:Pain / Q000175:diagnosis*; D012881:Skin Temperature; D012984:Software; D013696:Temperature; D013817:Thermography / Q000379:methods*; D014680:Veins / Q000473:pathology*