TITLE:
Image Processing Techniques in Shockwave Detection and Modeling
AUTHORS:
Suxia Cui, Yonghui Wang, Xiaoqing Qian, Zhengtao Deng
KEYWORDS:
Shock Wave Detection; Image Edge Detection
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.4 No.3B,
October
16,
2013
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.