Paper
21 August 2013 Application in casting defect lossless examination based on surf
Author Affiliations +
Proceedings Volume 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications; 89080J (2013) https://doi.org/10.1117/12.2032473
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Youchen Fan, Huayan Sun, and Haoxiang Wang "Application in casting defect lossless examination based on surf", Proc. SPIE 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications, 89080J (21 August 2013); https://doi.org/10.1117/12.2032473
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Cited by 2 scholarly publications.
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KEYWORDS
Bismuth

Wavelets

X-ray imaging

Detection and tracking algorithms

Image filtering

X-rays

Feature extraction

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