• DocumentCode
    1579965
  • Title

    Counting number of sweat glands using image processing

  • Author

    Pakkaselevat, Narutchai ; Kiattisin, Supaporn ; Wongseree, Waranyu ; Leelasantitham, Adisorn

  • Author_Institution
    Technol. of Inf. Syst. Manage. Program, Mahidol Univ., Bangkok, Thailand
  • fYear
    2012
  • Firstpage
    147
  • Lastpage
    150
  • Abstract
    This paper presents counting number of the sweat glands using image processing. This method uses a process of image processing as follows. The cropped image of the sweat glands is resized for an extensive size and it is converted to gray image. Then, unsharp filter is used for this image to adjust clearly the sweat glands. Quality of the image will be improved for image enhancement using adaptive histogram equalization. Finally, extended minima transform, i.e. the regional minima of the H-minima transform, is used for counting number of the sweat glands. The experimental results show that the accuracy, sensitivity and precision are approximately at 70.31%, 77.38% and 88.89%, respectively. It saves time to analysis of the sweat glands.
  • Keywords
    biomedical optical imaging; filtering theory; image enhancement; medical image processing; transforms; H-minima transform; adaptive histogram equalization; counting number; extended minima transform; gray image; image enhancement; image processing; sweat glands; unsharp filter; Accuracy; Diseases; Histograms; Image processing; Sensitivity; Sweat glands; Transforms; counting; image processing; sweat glands;
  • 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.2012.6172039
  • Filename
    6172039