Particle size distribution is extremely important in the coal preparation *** is traditionally analysed by a manual screening method,which is relatively time-consuming and cannot immediately guide *** this paper,an im...
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Particle size distribution is extremely important in the coal preparation *** is traditionally analysed by a manual screening method,which is relatively time-consuming and cannot immediately guide *** this paper,an image segmentation method for images of coal particles is *** employs the watershedalgorithm,k-nearest neighbour algorithm,and convex shell method to achieve preliminary segmentation,merge small pieces with large pieces,and split adhered particles,*** the automated segmentation using this method with manual segmentation,it is found that the results are *** size distributions obtained by the automated and manual segmentation methods are nearly identical,and the standard deviation is less than 3%,indicating good *** automated image segmentation method provides a new approach for rapidly analysing the size distribution of coal particles with size fractions defined according to consumer requirements.
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