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Proceedings Paper

Application in casting defect lossless examination based on surf
Author(s): Youchen Fan; Huayan Sun; Haoxiang Wang
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Paper Abstract

Based on the study of measures of the algorithm casting defect lossless examination and characteristics of X-ray imaging, a new automatic detection based on SURF is presented. Firstly, the algorithm detects the interested points of specifically component model in the standard image samples by SURF. Then the interested points of inspection produce are detected when the rotary worktable makes one revolution, at the same time, the interested points between model and produce are matched. The number of matched points is the basis for whether the product contains the component. Experimental results show that this method is effective in determining the component model well or not, which provides a novel method for casting defect lossless examination.

Paper Details

Date Published: 21 August 2013
PDF: 6 pages
Proc. SPIE 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications, 89080J (21 August 2013); doi: 10.1117/12.2032473
Show Author Affiliations
Youchen Fan, The Academy of Equipment (China)
Huayan Sun, The Academy of Equipment (China)
Haoxiang Wang, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 8908:
International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications
Jun Ohta; Nanjian Wu; Binqiao Li, Editor(s)

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