DocumentCode
1578177
Title
Mineral Particle Image Processing and Parameter Extracting
Author
Huang, XueYu ; Wei, Binghui
Author_Institution
Sch. of Inf. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
fYear
2010
Firstpage
1
Lastpage
4
Abstract
The grain size is an important quality index of granular materials. The accurate measurement of it has a guiding significance for technical performances and application of subsequent processing. Currently most of particle detection are done by manual operation such as screening method, which causes many problems as time-consuming measurement and lengthy testing steps. The particle size detection technology in this paper can be obtained from artificial disturbance, and can get consistent, objective testing results, representing the development direction of particle detection.
Keywords
feature extraction; granular materials; image processing; materials science computing; mineral processing; granular materials; mineral particle image processing; parameter extraction; Adhesives; Computers; Gray-scale; Image segmentation; Optimization; Pixel; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Logistics Engineering and Intelligent Transportation Systems (LEITS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8776-9
Electronic_ISBN
978-1-4244-8778-3
Type
conf
DOI
10.1109/LEITS.2010.5664979
Filename
5664979
Link To Document