DocumentCode :
3762666
Title :
Intensity average value of image segmentation for infrared image of environmental condition
Author :
S. R. Sulistiyanti;M. Komarudin;L. Hakim;A. Yudamson
Author_Institution :
Department of Electrical Engineering, Faculty of Engineering, University of Lampung, Bandar, Indonesia
fYear :
2015
Firstpage :
216
Lastpage :
220
Abstract :
In this paper, we make a report our research about intensity average value of image segmentation for infrared image of air pollution. Infrared image of environmental condition (captured sequentially every two hours, from 06:00-16:00) processed using wavelet transform. After that processed, used image segmentation to get intensity average value distribution from 0 till 255 to obtain trending graphic of pollution. Infrared image divided into 4, 8, and 16 segments. The result of this research is the increasing air pollution characterized at 12:00 and 16:00, by increasing intensity average value from 13%-27%. Finally intensity average value of image segmentation was made to estimate the environmental condition, especially air pollution, based on infrared image.
Keywords :
"Image segmentation","Wavelet transforms","Air pollution","Information technology","Electrical engineering","Monitoring"
Publisher :
ieee
Conference_Titel :
Information Technology, Computer, and Electrical Engineering (ICITACEE), 2015 2nd International Conference on
Print_ISBN :
978-1-4799-9861-6
Type :
conf
DOI :
10.1109/ICITACEE.2015.7437802
Filename :
7437802
Link To Document :
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