Cigarette Filter Rod Measure Based on Morphological Image Processing

Yuan Feng Huang; Di Feng Zhang; De Wen Guo; Shu Bin Yang

doi:10.4028/www.scientific.net/AMR.538-541.2121

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 538-541Cigarette Filter Rod Measure Based on...

Cigarette Filter Rod Measure Based on Morphological Image Processing

Abstract:

Traditional touch measure method has the shortages of easily distorting cigarette filter rod, long measure time, not high measure precision and not online implementing. In order to overcome these, imaging measure technology is used to measure it. Firstly, preprocessing filtering is operated on the acquired image. Then sobel operator is used to detect the edge and binary filter rod target image is obtained through morphological processing after falsehood edge eliminating. After that correlation parameters are gained. Parameters measuring absolute error for two images acquired from the same filter rod under different illumination is 1.848%. Experiment proves that the proposed method can rapidly and correctly measure cigarette filter rod. It can effectively measure filter rod in practice.

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Periodical:

Advanced Materials Research (Volumes 538-541)

Pages:

2121-2124

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.538-541.2121

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Online since:

June 2012

Authors:

Yuan Feng Huang, Di Feng Zhang, De Wen Guo, Shu Bin Yang

Keywords:

Cigarette Filter Rod, Edge Detection, Imaging Measure, Morpholoy

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References

[1] Yu Xin, Liu Jianfu, Liu Dehua. Summary on filtration efficiency of cigarette filters [J]. Tobacco SCI, 2003, 186, 9-14.

Google Scholar

[2] Zhu Zunquan. The cigarette harm reduction and independent innovation [J]. China Tobacco journal, 2006, 12, 3-7.

Google Scholar

[3] Wang Zhengliang, The research on mosaicing technology with the entire imaging measuring method [D], master thesis, Tianjin University, (2006)

Google Scholar

[4] Guan Shengxiao. The machine vision and its application [J]. New instrument and intelligent instrument, 2005, (9): 88-92

Google Scholar

[5] J Kittler. On the accuracy of the Sobeledge detector [J] . Image and Vision Computing.1983, 1 (1): 37-42.

Google Scholar

[6] J.Serra, Image analysis and Mathematical Morphology, Academic Press, London,(1982)

Google Scholar

[7] Jean Serra et al. Introduction to mathematical morphology. Computer Vision, Graphics, and Image Processing, 1986, 35:283～305.

DOI: 10.1016/0734-189x(86)90002-2

Google Scholar

[8] Bai Bingqian. The extraction of the traffic prohibition sign based on the color and the roundness [J]. Electronic design engineering, 2011, 19 (6): 150-15

Google Scholar

[9] Xiangang Jiang, Ai Jianfeng. The acquisition and analysis of microscopic image characteristic quantity [J], Journal of East China Jiaotong University, 2006, 23 (5):66-69

Google Scholar