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