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- W2046126508 abstract "Segmenting images of coal piles on a belt is an unsolved problem in coal-based machine vision research, though it is an essential step for estimating size distribution and classifying coal. In this investigation, a new algorithm for segmenting images of coal piles on a belt is proposed. A multi-scale linear filter, constructed of a Hessian matrix and Gaussian function, forms the core of this algorithm and obtains an edge intensity image to form good seed regions for a watershed segmentation. Manual segmentation is used to define ground truth segmentation images to quantify the errors of the proposed method. Tests indicate that 12.76% of the visible regions are under- or over-segmented, and that this algorithm is feasible and effective in practical applications." @default.
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- W2046126508 date "2013-10-01" @default.
- W2046126508 modified "2023-10-10" @default.
- W2046126508 title "Multi-scale image segmentation of coal piles on a belt based on the Hessian matrix" @default.
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- W2046126508 doi "https://doi.org/10.1016/j.partic.2013.02.011" @default.
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