高速弹体阴影图像特征点判读技术研究

图像数字化已经成为了当前阴影照相测试技术的发展趋势。随着高分辨率CCD摄像机在阴影照相中的广泛应用,传统的人工干预的数据判读方法无论在处理的效率还是精度方面都已不能满足科研工作的需求。为了改变这一现状,提出了一种基于小波去噪和边缘检测的阴影图像处理及特征点判读方法,并以高速弹体图像为例,在VC环境下进行了验证。结果表明该方法可行性好,能够有效避免人工参与处理过程引入的不确定因素并极大地提高数据判读效率。

Research on Characteristic Point Extracting Technology of High-Speed Bullet Shadowgraph

Image digitization has become the current development trend of shadowgraph measuring technology.With wide use of high resolution CCD cameras in the shadowgraph,the traditional data extraction method depending on manual work can no longer satisfy the needs of scientific research whatever in the ranges of processing efficiency or extracting precision.For the sake of changing this situation,a shadowgraph processing and characteristic points extracting method based on wavelet de-noising and edge detection was put forward.Taking the high-speed bullet shadowgraph as an example,the method was proved in VC environment,and the results indicated that its feasibility is good.By use of this method,the indeterminacy resulted from manual work can be avoided effectively and the data extracting efficiency can be greatly improved.