Application of the Best Threshold to Detect WFAFE Hole Ratio

Author

Du, Danfeng ; Yan, Ma ; Guo, Xiurong

Author_Institution

Coll. of Traffic, Northeast Forestry Univ., Harbin, China

Volume

1

fYear

2010

fDate

13-14 March 2010

Firstpage

683

Lastpage

686

Abstract

In this paper, the cross-section image of the wood fiber air filter element (WFAFE) is obtained by the digital camera linked with a microscope, simultaneously, the best threshold method is adopted to analysis the hole and background of image, then the hole parameters of WFAFE, such as hole ratio, hole ratio uniformity, hole equivalent diameter, hole distribution and shape factor, all can be obtained. The sample hole ratio obtained by image detection is close to that by theoretical calculation, and the mean absolute error is -1.24%. It has been found this method is suitable for the qualitative analysis and evaluation of WFAFE hole ratio, and its advantages are lower investment, higher intelligent analysis, and stronger statistical calculation. Therefore, it is a very promising approach for detection the WFAFE hole ratio.

Keywords

air cleaners; cameras; mechanical engineering computing; object detection; statistical analysis; wood; WFAFE hole ratio detection; best threshold method; cross-section image; digital camera; hole distribution; hole equivalent diameter; hole ratio uniformity; image detection; intelligent analysis; mean absolute error; microscope; qualitative analysis; shape factor; wood fiber air filter element; Air cleaners; Brightness; Digital cameras; Educational institutions; Filtration; Forestry; Image analysis; Image processing; Microscopy; Shape measurement; WFAFE; best threshold; hole ratio; image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.526

Filename

5458572