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
Link To Document :
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