Multi-scale image segmentation of coal piles on a belt based on the Hessian matrix |
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Authors: | Zelin Zhang Xiaolan Su Lihua Ding Yuling Wang |
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Affiliation: | School of Chemical Engineering & Technology, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China |
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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. |
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Keywords: | Image segmentation Coal pile Hessian matrix Multi-scale linear filter |
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