Abstract
This paper aims to research the on-line measurement of the steel plate head and tail shape, and to measure the steel head and tail geometry size by using digital image processing and computer vision technology. The image gathered from high precision CCD camera is segmented with using the method based on the improved local binary fitting (LBF) model. The head and tail shape and size of steel plate is accurately measured, which provides the basis data for the follow-up steel rolling and shearing process.
Original language | English |
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Title of host publication | Manufacturing and Applied Research |
Publisher | Trans Tech Publications |
Pages | 269-275 |
Number of pages | 7 |
ISBN (Print) | 9783038350590 |
DOIs | |
Publication status | Published - 2014 |
Event | 2nd International Conference on Manufacturing, Manufacturing 2014 - , Singapore Duration: 9 Feb 2014 → 10 Feb 2014 |
Publication series
Name | Advanced Materials Research |
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Volume | 909 |
ISSN (Print) | 1022-6680 |
Conference
Conference | 2nd International Conference on Manufacturing, Manufacturing 2014 |
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Country/Territory | Singapore |
Period | 9/02/14 → 10/02/14 |
Keywords
- Head and tail shape
- Image process
- Local binary fitting (LBF) model
- Online detection
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Sun, Y. K., & Yao, X. L. (2014). Research on online detection of steel plate head and tail shape. In Manufacturing and Applied Research (pp. 269-275). (Advanced Materials Research; Vol. 909). Trans Tech Publications. https://doi.org/10.4028/www.scientific.net/AMR.909.269