A New Method for Recognizing Carton Black in Rubber Image

Xiao Bo Wang; Chuang Sheng Wang

doi:10.4028/www.scientific.net/KEM.501.505

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Thermal Simulation and Experimental Study on Tire Building Machine Hot Knife
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The Finite Element Analysis of Steel Cord in Radial Tire’s Belt Ply
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The Numerical Simulation for Thermal Deformation in Grinding Hardening Thin Workpiece
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A New Method for Recognizing Carton Black in Rubber Image
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The Numerical Simulating Research about the Pulse Cleaning Process of Bag Filter
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A Review of Studies on the Granular Agglomeration Mechanisms and Anti-Agglomeration Methods
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 501A New Method for Recognizing Carton Black in...

A New Method for Recognizing Carton Black in Rubber Image

Abstract:

It’s important to recognize carton black in rubber image for detecting carton black dispersion. This new method adopts special algorithm that depends on rubber image’s character to optimize background color of rubber image and make carton black clearer. In addition, this method can distinguish some abnormal factors through calculating oblate degree of white region. Application of this new method is useful for getting exact information of carton black and supplying correct data for evaluating carton black dispersion.

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Periodical:

Key Engineering Materials (Volume 501)

Pages:

505-508

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.501.505

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Online since:

January 2012

Authors:

Xiao Bo Wang, Chuang Sheng Wang

Keywords:

Carton Black, Image Recognition, Rubber

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References

[1] Xiaobo Wang, Chuansheng Wang, Dewei Zhang, Development of Carton Black's Dispersion Evaluation System Based on Statistics[J]. Advanced Materials Research, 2011, 221: 684-688.

DOI: 10.4028/www.scientific.net/amr.221.684

Google Scholar

[2] Hui-Fuang Ng, Automatic thresholding for defect detection[J]. Pattern Recognition Letters, 2006, 27: 1644-1649.

DOI: 10.1016/j.patrec.2006.03.009

Google Scholar

[3] Amer Dawoud, ICIAR(2) 2010, Póvoa de Varzim, Portugal, 21-23 June.

Google Scholar