Publication: Counting number of points for acne vulgaris using UV fluorescence and image processing
dc.contributor.author | Manita Khongsuwan | en_US |
dc.contributor.author | Supaporn Kiattisin | en_US |
dc.contributor.author | Waranyu Wongseree | en_US |
dc.contributor.author | Adisorn Leelasantitham | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.date.accessioned | 2018-05-03T08:10:51Z | |
dc.date.available | 2018-05-03T08:10:51Z | |
dc.date.issued | 2011-12-01 | en_US |
dc.description.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. | en_US |
dc.identifier.citation | BMEiCON-2011 - 4th Biomedical Engineering International Conference. (2011), 142-146 | en_US |
dc.identifier.doi | 10.1109/BMEiCon.2012.6172038 | en_US |
dc.identifier.other | 2-s2.0-84860462214 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/11867 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84860462214&origin=inward | en_US |
dc.subject | Engineering | en_US |
dc.title | Counting number of points for acne vulgaris using UV fluorescence and image processing | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84860462214&origin=inward | en_US |