Publication: Counting number of points for acne vulgaris using UV fluorescence and image processing
2
Issued Date
2011-12-01
Resource Type
Other identifier(s)
2-s2.0-84860462214
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
BMEiCON-2011 - 4th Biomedical Engineering International Conference. (2011), 142-146
Suggested Citation
Manita Khongsuwan, Supaporn Kiattisin, Waranyu Wongseree, Adisorn Leelasantitham Counting number of points for acne vulgaris using UV fluorescence and image processing. BMEiCON-2011 - 4th Biomedical Engineering International Conference. (2011), 142-146. doi:10.1109/BMEiCon.2012.6172038 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/11867
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Counting number of points for acne vulgaris using UV fluorescence and image processing
Other Contributor(s)
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. © 2011 IEEE.