Image Processing Techniques in Shockwave Detection and Modeling

• 作者: Suxia Cui Xiaoqing Qian Yonghui Wang Zhengtao Deng
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 关键词: Shock WAVE DETECTION IMAGE EDGE DETECTION
• 年，卷（期）: 2013,（3）
• 页码范围: 109-113
• 页数: 5页
• 分类号: TP39

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.