Research on the High-Speed Object Shadowgraph Image Processing Method Based on Adaptive Threshold Segmentation

Abstract:

Shadowgraph is an important method to obtain the flight characteristics of high-speed object, such as attitude and speed etc. To get the contour information of objects and coordinates of feature points from shadowgraph are the precondition of characteristics analysis. Current digital shadowgraph system composed of CCD camera and pulsed laser source is widely used, but still lack of the corresponding method in image processing. Therefore, the selection of an effective processing method in order to ensure high effectiveness and accuracy of image data interpretation is an urgent need to be solved. According to the features of shadowgraph, a processing method to realize the contour extraction of high-speed object by adaptive threshold segmentation is proposed based on median filtering in this paper, and verified with the OpenCV in VC environment, the identification process of the feature points are recognized. The result indicates that by using this method, contours of high-speed objects can be detected nicely, to combine relevant algorithm, the pixel coordinates of feature points such as the center of mass can be recognized accurately.

• Periodical: Applied Mechanics and Materials (Volumes 325-326)
• Pages: 1571-1575
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.325-326.1571
• Online since: June 2013
• Authors: Fang Wang, Zong Wei Yang, De Ren Kong, Yun Fei Jia
• Keywords: Adaptive Threshold, Image Segmentation, Median Filtering, OpenCV, Shadowgraph

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