Study of Constructed Wetland Plant Growth by Computer Image Processing (CIP)

Xiao Liu; Ting Fang Zi Tang

doi:10.4028/www.scientific.net/AMM.444-445.1815

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 444-445Study of Constructed Wetland Plant Growth by...

Study of Constructed Wetland Plant Growth by Computer Image Processing (CIP)

Abstract:

This paper developed a kind of non-destructive measurement for the growth process of constructed wetland plant: doing image acquisitions of constructed wetland plant regularly through digital camera imaging; introducing image files to computer through interface, displaying them on the screen of computer; developed constructed wetland plant image and growth information extraction software under Visual C++ compiling integrated environment, users could acquire plant contour (realized by image edge recognition) and plant size (characterized by top projected leaf area) through human-machine interactive operation; designed constructed wetland plant (Phragmites communis) experiment to analyze the biomass change during the non-destructive measurement process. The biomass had good correlation with manual measured individual plant height, which proved that computer image processing based non-destructive measurement can provide reliable predictions for plant growth parameters.

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Periodical:

Applied Mechanics and Materials (Volumes 444-445)

Pages:

1815-1819

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.444-445.1815

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Online since:

October 2013

Authors:

Xiao Liu, Ting Fang Zi Tang

Keywords:

Computer Image Processing (CIP), Constructed Wetland, Plant Growth Information

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References

[1] Gao, G.Z., Hong, Y., He, Z.Y., Yu, L.F., The application of the image processing technology in the fire fighting simulative training, Journal of national university of defense technology, 25(2003), 49–53.

Google Scholar

[2] Qiu, B.J., Liu, B.L., Wu, C.D., Shi, C.J., Li,H.F., Application of near-infrared image processing in agrichltural engineering, Transactions of the Chinese society of ageicultural engineering, 21(2005), 102–106.

Google Scholar

[3] Gong, C.L., Yin, Q., Kuang, D.B., Remote sensing information extraction of urban environment, Journal of infrared and millimeter waves, 26(2007), 448–450.

Google Scholar

[4] Kadlec, R.H., Knight, R.L., Treatment Wetlands. Lewis Publishers, CRC Press Inc., Boca Raton, Florida, (1996).

Google Scholar

[5] Li, L., Li, Y., Biswas, D.K., Nian, Y., Jiang, G., Potential of constructed wetlands in treating the eutrophic water: evidence from Taihu Lake of China, Bioresource Technology, 99(2008), 1656-1663.

DOI: 10.1016/j.biortech.2007.04.001

Google Scholar