摘要
提出了一种利用Hough变换在图像中检测模糊直线条纹的有效方法.将Hough变换对随机噪音不敏感的特性与Fourier变换的性质相结合,可实现对图形中有相同周期条纹的检测.该方法不针对单一条纹,只识别相同周期条纹的总体特征,能有效避免条纹部分缺失对检测结果的影响,并能快速检测条纹的准确数量.将该方法应用于数字全息干涉图的自动判读,成功实现全息干涉条纹的自动识别和准确计数,不仅避免了图像中条纹灰度不均匀、严重模糊的影响,而且提高了数字全息干涉术的测试准确度和效率.
An effective method based on Hough transform,which is used to detect the fuzzy line fringes in image,was put forward.Taking advantages of the insensitivity feature of Hough transform to random noise and the properties of Fourier transform,the method can detect the fringes with the same period.The method can recognize the general feature of the fringes with the same period and do not recognize the single fringe.Using the proposed method,the influence of incomplete fringes to the measurement result can be efficiently avoided.In the application of the automatic interpretation of the holographic interferogram,the holographic fringes were automatically recognized and exactly counted.The experimental results show that the proposed method can avoid the influence of the uneven gray and the serious blur of fringes,and increase the test precision and efficiency of the digital holographic interferometry.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2011年第1期116-120,共5页
Acta Photonica Sinica
基金
总装备部预研基金(No.9140XXXX)资助
