Online Aggregate Particle Size Measurement on A Conveyor Belt

Author

Wang, Weixing

Author_Institution

Dept. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun.

Volume

3

fYear

0

fDate

0-0 0

Firstpage

1032

Lastpage

1035

Abstract

In order to quickly and accurately estimate average size of densely packed aggregate particles on a moving conveyor belt, a new image processing method is studied. The method consists of two major algorithms, one is a one-pass boundary detection algorithm that is specially designed for the images of densely packed particles (the word "particle" is used in a wide sense), and the other is average size estimation based on image edge density. The algorithms are cooperative. Our method has been tested experimentally for different kinds of closely packed particle images which are difficult to detect by ordinary edge detections. The new method avoids delineating and measuring every particle on an image, therefore, is suitable for realtime imaging. It is particularly applicable for a densely packed and complicated particle image sequence

Keywords

aggregates (materials); edge detection; image sequences; particle size measurement; quarrying industry; aggregate particle size measurement; boundary detection algorithm; conveyor belt; edge detection; image edge density; image processing; packed particle image; particle image sequence; Aggregates; Algorithm design and analysis; Belts; Detection algorithms; Image edge detection; Image processing; Image sequences; Particle measurements; Size measurement; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.905

Filename

1699702