Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization

Junghoon Lee, Joosung Lee, Sangha Song, Hyunsook Lee, Kyoungjoung Lee, Youngro Yoon*

*この研究の対応する著者

    研究成果: Conference contribution

    7 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
    ページ4055-4058
    ページ数4
    出版ステータスPublished - 2008
    イベント30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC
    継続期間: 2008 8 202008 8 25

    Other

    Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
    CityVancouver, BC
    Period08/8/2008/8/25

    ASJC Scopus subject areas

    • コンピュータ ビジョンおよびパターン認識
    • 信号処理
    • 生体医工学
    • 健康情報学

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