Determine the size distribution of fragmented rock particles by blasting using images pattern recognition

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Yaghoobi Hadi; Mansouri Hamid; EBRAHIMI MOHAMMAD ALI; NEZAMABADI POUR HOSSEIN

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Journal: MACHINE VISION AND IMAGE PROCESSING Year:2020 | Volume:6 | Issue:2 Page(s): 61-77

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Title

Determine the size distribution of fragmented rock particles by blasting using images pattern recognition

Author(s)

Yaghoobi Hadi | Mansouri Hamid | EBRAHIMI MOHAMMAD ALI | NEZAMABADI POUR HOSSEIN | Issue Writer Certificate

Keywords

Size distribution

muck-pile

visual feature extraction

fragmentation evaluation

Abstract

muck-pile Size distribution is one of the most important parameters in open pit blasting that can affect mining and mineral processing efficiency. For evaluating fragmentation by blasting, digital image analysis is a fast and reliable indirect technique. In this study, based on neural network and visual feature extractions, an algorithm was developed to determine muck-piles Size distribution using digital images. 26 test images of fragmented rockwere used to determine Size distribution and the results were compared with the results of automatic and manual aged detection of Split-Desktop software. The results showeda general improvement in evaluating rockparticles Size distribution. We obtained an improvement of 67%, 57% and 28%, respectively using Fourier transform, Gabor and wavelet methods. Fourier transform, Gabor and wavelet methods showed also an improvement of 52%, 40% and 21 %, respectively in evaluating of F10 to F50.

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APA: Copy

Yaghoobi, Hadi, Mansouri, Hamid, EBRAHIMI, MOHAMMAD ALI, & NEZAMABADI POUR, HOSSEIN. (2020). Determine the size distribution of fragmented rock particles by blasting using images pattern recognition. MACHINE VISION AND IMAGE PROCESSING, 6(2 ), 61-77. SID. https://sid.ir/paper/395841/en

Vancouver: Copy

Yaghoobi Hadi, Mansouri Hamid, EBRAHIMI MOHAMMAD ALI, NEZAMABADI POUR HOSSEIN. Determine the size distribution of fragmented rock particles by blasting using images pattern recognition. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2020;6(2 ):61-77. Available from: https://sid.ir/paper/395841/en

IEEE: Copy

Hadi Yaghoobi, Hamid Mansouri, MOHAMMAD ALI EBRAHIMI, and HOSSEIN NEZAMABADI POUR, “Determine the size distribution of fragmented rock particles by blasting using images pattern recognition,” MACHINE VISION AND IMAGE PROCESSING, vol. 6, no. 2 , pp. 61–77, 2020, [Online]. Available: https://sid.ir/paper/395841/en

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