Forecasting Gam
Forecasting
Gamma radiation levels using Digital image processing
Abou-Bakr M.Ramadan 1,
Ahmed M. El-Garhy 2, Fathy Z.Amer 2, and Mazhar
M. Hefnawi 1 *
1 Department of National Network for Monitoring
Radioactivity, Atomic Energy Authority of Egypt, Cairo, Egypt; 2Department
of Electronics, Communications and Computers, Faculty of Engineering, Helwan
University, Cairo, Egypt.[email protected]
Abstract: This work introduces a new way for data
visualization. Its name is " Digital 'Application name' Image".
Normal digital image is created by digital camera or digital scanner but
digital application name image is created by measurements of monitoring data.
This work uses the data which is measured by some radiation monitoring stations
and classifies it using fuzzy logic rules to create some digital radiation
images. The main unique advantage of digital radiation image is that it
expresses thousands of measurements in a very clear form through only one
picture while the maximum number of measurements does not exceed 100 for other
conventional visualization methods. This feature gives a facility to view one
year of all recorded measurements in only one photo. This picture helps the
user to observe the behavior of thousands of measurements in few minutes
instead of spending few hours in reviewing hundreds of charts for the same
measurements. This work also introduces a new way for forecasting Gamma
radiation levels. This way uses image restoration technique to predict the
gamma levels. Of course, this technique is used after creating digital
radiation image. The quality for the output result from this model is at least
accepted for forecasting and covering lost data. The main feature from this
model is that it needs only one kind of data while other prediction models need
at least three kinds of data. Therefore this model covers the common limitation
in famous prediction models and saves money, time and effort.
[Abou-Bakr M.Ramadan, Ahmed M. El-Garhy, Fathy
Z.Amer and Mazhar M. Hefnawi. Forecasting Gamma
radiation levels using Digital image processing. Life Sci J
2012;9(1):701-710]. (ISSN: 1097-8135). http://www.lifesciencesite.com. 101
Keywords: Data visualization; Digital image processing;
Digital Radiation Image; Environmental Forecast Full Text 101
