In electricalpower generation there are many problems that may be solved through the application ofimage analysis. The presence of non ore gangue materials mixed with coal can have an impact on the combustion efficiency and emissions ofpower 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 techniquefor 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 ofsurface texture properties.

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