文章基本信息

标题：Image Processing Techniques in Shockwave Detection and Modeling
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作者：Suxia Cui ; Yonghui Wang ; Xiaoqing Qian 等
期刊名称：Journal of Signal and Information Processing
印刷版ISSN：2159-4465
电子版ISSN：2159-4481
出版年度：2013
卷号：4
期号：3B
页码：109-113
DOI：10.4236/jsip.2013.43B019
出版社：Scientific Research Publishing
摘要：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.
关键词：Shock Wave Detection; Image Edge Detection