Image Processing Techniques in Shockwave Detection and Modeling ()
Suxia Cui,
Yonghui Wang,
Xiaoqing Qian,
Zhengtao Deng
Department of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, Texas, USA.
Department of Engineering Technology, Prairie View A&M University, Prairie View, Texas, USA.
Department of Mechanical Engineering, Alabama A&M University, Huntsville, Alabama, USA..
DOI: 10.4236/jsip.2013.43B019
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Abstract
Shockwave detection is critical in
analyzing shockwave structure and location. High speed video imaging systems
are commonly used to obtain image frames during shockwave control experiments.
Image edge detection algorithms become natural choices in detecting shockwaves. In this paper, a computer
software system designed for shockwave detection is introduced. Different image
edge detection algorithms, including Roberts, Prewitt, Sobel, Canny, and Laplacian of Gaussian, are implemented and
can be chosen by the users to easily and accurately detect the shockwaves. Experimental results show that the
system meets the design requirements and can accurately detect shockwave for
further analysis and applications.
Share and Cite:
S. Cui, Y. Wang, X. Qian and Z. Deng, "Image Processing Techniques in Shockwave Detection and Modeling,"
Journal of Signal and Information Processing, Vol. 4 No. 3B, 2013, pp. 109-113. doi:
10.4236/jsip.2013.43B019.
Conflicts of Interest
The authors declare no conflicts of interest.
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