An Algorithm for Particle Size Analysis of Gravel Image by Using Gray-Value Vibration Frequency

Si Yu Yu; Shao Hua Li; Jun Li; Dao Wan Song; Jing Hua Shi

doi:10.4028/www.scientific.net/AMM.318.253

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 318An Algorithm for Particle Size Analysis of Gravel...

An Algorithm for Particle Size Analysis of Gravel Image by Using Gray-Value Vibration Frequency

Abstract:

Due to it is very extensive usage in the application of production practice and scientific research in the present,Identifying particle size from digital image is an important technology.Up to now there have been some particle image size identification methods,Such as the improved watershed algorithm for adhesive rice image segmentation,Particle size analysis method based on spatial autocorrelation for deposit digital Image.But because the gravel image is a kind of special particle image,those methods are not very suitable for use in particle size analysis of gravel image.This paper puts forward a new particle image size identification method.Combing with the image threshold segmentation method,this new method is better able to extract gravel object from gravel image and rebuild the grid model of gravel size.

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2013 International Conference on Machinery, Materials Science and Energy Engineering

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Periodical:

Applied Mechanics and Materials (Volume 318)

Pages:

253-256

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.318.253

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Online since:

May 2013

Authors:

Si Yu Yu, Shao Hua Li, Jun Li, Dao Wan Song, Jing Hua Shi

Keywords:

Gravel Image, Gray Value, Image Segmentation, Particle Size Analysis, Vibration Frequency

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References

[1] Wang Lumin.Particle size measurement based on image processing[J].CHEMICAL EQUIPMENT TECHNOLOGY,2005,26(4):65-67.

Google Scholar

[2] Kuang Fangjun,Xu Weihong,Wang Yanhua .Image segmentation of adhering rice based on the improved watershed algorithm [J]. CEREAL&FEED INDUSTRY, 2010, (8): 5-8.

Google Scholar

[3] Zhao Yonggang,Chen Jingshan,Zhao Minghua.A NEW METHOD USED IN DIGITAL IMAGING GRADING ANALYSIS OF SEDIMENTARY ROCKS [J]. Computer Applications of Petroleum, 2005, 13(2): 10-13.

Google Scholar

[4] Milan Sonka, Vaclav Hlavac,Roger Boyle.IMAGE PROCESSING, ANANLYSIS, AND MACHINE VISION [M]. Beijing:Tsinghua University Press, 2011:124-125.

DOI: 10.1117/12.256634

Google Scholar

[5] Ma Dong,Cao Peijie,Pan Kaili.Comparison of Some Methods for Segmentation of Overlapped Nuclei [J]. BEIJING BIOMEDICAL ENGINEERING, 1999, 18(3):142-147.

Google Scholar

[6] Dong Liju,Yu Ge.An Efficient Approach to Image Binarization [J]. JOURNAL OF NORTHEASTERN UNIVERSITY (NATURAL SCIENCE),2004,25(12):1149-1152.

Google Scholar

[7] Milan Sonka,Vaclav Hlavac,Roger Boyle.IMAGE PROCESSING, ANANLYSIS, AND MACHINE VISION [M]. Beijing:Tsinghua University Press, 2011: 130-132.

DOI: 10.1117/12.256634

Google Scholar