摘要
为了精确提取粗糙金属表面的光条中心,提出了一种基于光切法的光刀条纹中心提取方法。从图像形态学角度出发,分析了图像的噪声来源,利用图像增强处理将噪声转化成颗粒状形态,并保持有效光条的连续条纹状特征。然后,通过对图像连通区域面积计数,分割噪声和有效光条信息,将得到的二值化光条图像作为掩模板,与原图像相乘来复原光条图像的灰度信息。最后,应用灰度重心法对已去噪的光条灰度图像进行中心提取。实验结果表明,提出的方法可使提取的光条中心全部落在光条位置区域。对噪声较多的直线条纹区域进行的中心提取显示,此方法的平均误差为0.337 5个像素。
To extract the laser stripe center of a rough metal surface accurately,an extraction method based on light cutting was presented.Firstly,the noise source of an image was analyzed by the image morphology,then the noise was converted into a granular shape while the continuous feature of an effective laser-stripe was still kept through an image enhancement processing.The noise and the laser-stripe were segmented by counting the connected areas of the image,and the denoised binary laser-stripe image was taken as a mask to be multiplied by the original image to recover the gray scale information of the laser-stripe image.Finally,the denoised laser-stripe center of the gray scale image was extracted with a barycenter method.Experimental results show that the laser-stripe centers extracted with the proposed method all locate in the laser-stripe region.The average error of the center extraction of a much-noised straight line laser-stripe by this method can reach 0.337 5 pixels.
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2011年第9期2138-2145,共8页
Optics and Precision Engineering
基金
国家863高技术研究发展计划资助项目(No.2008AA042207)
关键词
光切法
光条中心提取
粗糙金属表面
重心法
light-sectioning method
laser-stripe center extraction
rough metal surface
barycenter method
