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2014 | OriginalPaper | Chapter

Automated Estimation of Ore Size Distributions Based on Machine Vision

Authors : Ke Dong, Dalin Jiang

Published in: Unifying Electrical Engineering and Electronics Engineering

Publisher: Springer New York

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Abstract

Ore image segmentation is the most important and difficult step for automatic estimation of the ore size distribution. In this chapter, we propose a method for the segmentation of ore images in an ore size distributions system based on the machine vision. Firstly, the method uses mean shift algorithm to detect the dark areas among ore particles. And then a series of filtering, threshold, morphologic operations, and watershed transform processes are designed to determine ore particle sizes from digital images. The experimental results show that our method can separate ore particles accurately and automatically estimate the size distributions.

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Title: Automated Estimation of Ore Size Distributions Based on Machine Vision
Authors: Ke Dong
Dalin Jiang
Publisher: Springer New York
Book: Unifying Electrical Engineering and Electronics Engineering
Print ISBN: 978-1-4614-4980-5

Electronic ISBN: 978-1-4614-4981-2

Copyright Year: 2014
DOI: https://doi.org/10.1007/978-1-4614-4981-2_122