A Statistical Method Based on the Image of the Ore Partical Size Distribution

Nan Nan Zhao; Juan Hu; Lian Jun Guo

doi:10.4028/www.scientific.net/AMM.263-266.2581

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266A Statistical Method Based on the Image of the Ore...

A Statistical Method Based on the Image of the Ore Partical Size Distribution

Abstract:

A statistical method of particle size distribution is researched in order to measure the mineral blasting effect. Aimed at resolving the problems of sensitivity to noise and over-segmentation existing in the traditional watershed algorithm(TWA), a improved watershed segmentation scheme based on morphological reconstruction and mark extraction is presented. Firstly, two-stage grayscale morphological reconstruction (TGMR)is employed to filter the image. Secondly, the watershed seed area and the watershed line area are pre-calibrated in the gradient image. Finally, the watershed transformation(WT) is conducted so as to further eliminate over-segmentation. Simulations show that the method can effectively remove the noise jamming and restrain the over-segmentation. It is also able to accurately locate the ore region contour in order to improve the segmentation results.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2581-2585

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2581

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Online since:

December 2012

Authors:

Nan Nan Zhao, Juan Hu, Lian Jun Guo

Keywords:

Image Segmentation, Mark Extraction, Morphological Reconstruction, Watershed Transformation

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