Manita KhongsuwanSupaporn KiattisinWaranyu WongsereeAdisorn LeelasantithamMahidol University2018-05-032018-05-032011-12-01BMEiCON-2011 - 4th Biomedical Engineering International Conference. (2011), 142-1462-s2.0-84860462214https://repository.li.mahidol.ac.th/handle/20.500.14594/11867This 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.Mahidol UniversityEngineeringCounting number of points for acne vulgaris using UV fluorescence and image processingConference PaperSCOPUS10.1109/BMEiCon.2012.6172038