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
Link To Document :
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