• DocumentCode
    1579940
  • Title

    Counting number of points for acne vulgaris using UV Fluorescence and image processing

  • Author

    Khongsuwan, Manita ; Kiattisin, Supaporn ; Wongseree, Waranyu ; Leelasantitham, Adisorn

  • Author_Institution
    Technol. of Inf. Syst. Manage. Program, Mahidol Univ., Nakorn Pathom, Thailand
  • fYear
    2012
  • Firstpage
    142
  • Lastpage
    146
  • Abstract
    This paper presents counting number of points for the P.acne vulgaris using UV Fluorescence and image processing. This proposed method uses a process of image processing as follows. Cropping a UV image is to select a region of interest and, then the cropped image is resized for a suitable size and it (or the color image) is converted to a gray image. Quality of this gray image will be improved for image enhancement using adaptive histogram equalization. Finally, extended maxima transform, i.e. the regional maxima of the H-maxima transform, is used for counting number of the P. acne points. The experimental results show that the accuracy, sensitivity and precision are approximately at 83.75%, 98.22% and 85.04%, respectively. It saves time to analysis of the acne points.
  • Keywords
    biomedical optical imaging; diseases; fluorescence; image enhancement; medical image processing; microorganisms; molecular biophysics; H-maxima transform; UV fluorescence; acne vulgaris; adaptive histogram equalization; image enhancement; image processing; Accuracy; Diseases; Fluorescence; Humans; Image processing; Sensitivity; Transforms; acne vulgaris; counting; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering International Conference (BMEiCON), 2011
  • Conference_Location
    Chiang Mai
  • Print_ISBN
    978-1-4577-2189-2
  • Type

    conf

  • DOI
    10.1109/BMEiCon.2012.6172038
  • Filename
    6172038