Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
237687 | Powder Technology | 2011 | 9 Pages |
Abstract
Size measurement of pellets based on image analysis techniques would allow non-invasive, frequent and consistent measurement. We evaluate the ability of commonly used size and shape measurement methods to discriminate among different sieve-size classes of pellets. Backward elimination and forward selection of features are used to select two feature sets that are statistically significant for discriminating among different sieve-size classes.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Tobias Andersson, Matthew J. Thurley,