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: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
    Pages4055-4058
    Number of pages4
    Publication statusPublished - 2008
    Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC
    Duration: 2008 Aug 202008 Aug 25

    Other

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

    Fingerprint

    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

    Lee, J., Lee, J., Song, S., Lee, H., Lee, K., & Yoon, Y. (2008). Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology" (pp. 4055-4058). [4650100]

    Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization. / Lee, Junghoon; Lee, Joosung; Song, Sangha; Lee, Hyunsook; Lee, Kyoungjoung; Yoon, Youngro.

    Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. p. 4055-4058 4650100.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Lee, J, Lee, J, Song, S, Lee, H, Lee, K & Yoon, Y 2008, Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"., 4650100, pp. 4055-4058, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, 08/8/20.
    Lee J, Lee J, Song S, Lee H, Lee K, Yoon Y. Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. p. 4055-4058. 4650100
    Lee, Junghoon ; Lee, Joosung ; Song, Sangha ; Lee, Hyunsook ; Lee, Kyoungjoung ; Yoon, Youngro. / Detection of suspicious pain regions on a digital infrared thermal image using the multimodal function optimization. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. pp. 4055-4058
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