Dot Area Coverage Percentage Measurement Method for Plate Microscopic Image Based on Color Segmentation

Ju Hua Liu; Yao Hua Yi; Cong Li

doi:10.4028/www.scientific.net/AMM.536-537.100

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 536-537Dot Area Coverage Percentage Measurement Method...

Dot Area Coverage Percentage Measurement Method for Plate Microscopic Image Based on Color Segmentation

Abstract:

On the basis of analysis the plate quality detection method in accordance with machine vision, Innovative dot area coverage percentage measurement method for plate microscopic image based on color segmentation was proposed in this paper. Plate microscopic image was transformed from RGB to HSI model. Then the plate microscopic image was segmented according to the saturation and the hue information. It was proved by experiments that the dot area coverage percentage measurement method based on color segmentation was provided with high measurement precision and good plate applicability.

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Periodical:

Applied Mechanics and Materials (Volumes 536-537)

Pages:

100-104

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.536-537.100

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Cite this paper

Online since:

April 2014

Authors:

Ju Hua Liu, Yao Hua Yi, Cong Li*

Keywords:

Color Segmentation, Dot Area Percentage Measurement, Plate Microscopic Image, Plate Quality Detection

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* - Corresponding Author

References

[1] Xu Yongchi, in: Binarization Algorithm Plate Microscopic Image. Master: Xi'an University of technology (2009), p.16.

Google Scholar

[2] Bhanu Prasad P, Machine Vision Systems and Image Processing with Applications, Journal of Innovation in Computer Science and Engineering, 2013, Vol. 2 (2).

Google Scholar

[3] Davies ER: Computer and Machine Vision: Theory, Algorithms, Practicalities [M]. New York, NY: Academic Press; 2012: 1–912.

Google Scholar

[4] Poljak, J. Defining of Printing Plate Quality Level through Introduction of Different Image Analysis Applications. MS. c. Thesis, Trabajo Fin de Máster, Complutense University of Madrid: Madrid, Spain, (2013).

Google Scholar

[5] Zhou Haihua, Song Yanlin, in: Nano-print to Plate Technology. Image Technology, Vol. 22, No. 6, pp.28-29(2010).

Google Scholar

[6] Calvert P，in: Inkjet Printing for Materials and Devices．Chem. Master, Vol. 13, No. 10, pp.3299-3305(2001).

Google Scholar

[7] Rafael C. Gonzalez, Richard E. Woods, in: Digital Image Processing Second Edition, edited by Ma Lan, Publishing House of Electronics Industry, Beijing(2007), in press.

Google Scholar

[8] Otsu N, in: A threshold selection method from gray level histograms. IEEE Trans. 1979: 62–66.

DOI: 10.1109/tsmc.1979.4310076

Google Scholar

[9] Yi Yaohua, Li Shuai, Su Hai, Liu Juhua, Li Cong. Research on Dot Percentage Detection of Nano Green Plate[C]. International Photonics and Optoelectronics Meetings. (2013).

DOI: 10.1364/n3.2013.nsa3a.10

Google Scholar

[10] M. Kumaravel, S. Karthik, P. Sivraj etc. Human Face Image Segmentation using Level Set Methodology. International Journal of Computer Applications. 2012: 44(12).

DOI: 10.5120/6315-8658

Google Scholar

[11] Jelena Poljak, Guillermo Botella etc. Offset Printing Plate Quality Sensor on a Low-Cost Processor [J]. Sensors, 2013(13): 14277-14300.

DOI: 10.3390/s131114277

Google Scholar