Title :
Differentiation between Coal and Stone through Image Analysis of Texture Features
Author :
Hobson, David M. ; Carter, Robert M. ; Yan, Yong ; Lv, Zhixin
Author_Institution :
Univ. of Kent, Canterbury
Abstract :
In electrical power generation there are many problems that may be solved through the application of image analysis. The presence of non ore gangue materials mixed with coal can have an impact on the combustion efficiency and emissions of power plants. Also known as tailings, often these materials are a hazardous byproduct of mining. Differentiation between coal and gangue is desirable for fuel quality control and yield analysis. This research aims to develop a digital imaging and image analysis technique for this purpose. Material samples are analysed through a process of image acquisition and digital processing. Differentiation is found possible between varieties of bituminous coal and associated gangue and stone materials using intensity values and a range of surface texture properties.
Keywords :
coal; edge detection; feature extraction; image texture; power plants; surface texture; thermal power stations; bituminous coal; edge detection method; electrical power generation; fuel quality control; image acquisition; image analysis; image texture features; non ore gangue materials; power plants; stone materials; surface texture; Combustion; Digital images; Fuels; Hazardous materials; Image analysis; Image texture analysis; Ores; Power generation; Quality control; Surface texture; coal; edge detection; gangue; image processing; texture analysis;
Conference_Titel :
Imaging Systems and Techniques, 2007. IST '07. IEEE International Workshop on
Conference_Location :
Krakow
Print_ISBN :
1-4244-0965-9
Electronic_ISBN :
1-4244-0965-9
DOI :
10.1109/IST.2007.379597
