Multi-scale image segmentation of coal piles on a belt based on the Hessian matrix

作者：Zhang, Zelin; Yang, Jianguo; Su, Xiaolan; Ding, Lihua; Wang, Yuling^*

来源：Particuology, 2013, 11(5): 549-555.

DOI：10.1016/j.partic.2013.02.011

• Image segmentation
• Coal pile
• Hessian matrix
• Multi-scale linear filter

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.

• 出版日期2013-10
• 单位中国矿业大学（北京）