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

    Research output: Contribution to journalArticle

    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.

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    Hot Temperature
    Infrared radiation
    Pain
    Infrared imaging
    Glycosuria
    Varicose Veins
    Osteoarthritis
    Foot
    Veins
    Research

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Signal Processing
    • Biomedical Engineering
    • Health Informatics

    Cite this

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    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.",
    author = "Junghoon Lee and Joosung Lee and Sangha Song and Hyunsook Lee and Kyoungjoung Lee and Youngro Yoon",
    year = "2008",
    language = "English",
    pages = "4055--4058",
    journal = "Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference",
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    AU - Lee, Junghoon

    AU - Lee, Joosung

    AU - Song, Sangha

    AU - Lee, Hyunsook

    AU - Lee, Kyoungjoung

    AU - Yoon, Youngro

    PY - 2008

    Y1 - 2008

    N2 - 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.

    AB - 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.

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