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粗糙金属表面光条中心提取方法

Extraction of laser stripe center on rough metal surface

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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。

Abstract

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.

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中图分类号:TP391.4

DOI:10.3788/ope.20111909.2138

所属栏目:信息科学

基金项目:国家863高技术研究发展计划资助项目(No.2008AA042207)

收稿日期:2010-12-27

修改稿日期:2011-01-25

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赵博华:清华大学 精密仪器与机械学系 精密测试技术及仪器国家重点实验室,北京 100084
王伯雄:清华大学 精密仪器与机械学系 精密测试技术及仪器国家重点实验室,北京 100084
张金:清华大学 精密仪器与机械学系 精密测试技术及仪器国家重点实验室,北京 100084
罗秀芝:清华大学 精密仪器与机械学系 精密测试技术及仪器国家重点实验室,北京 100084

联系人作者:赵博华(zbh07@mails.tsinghua.edu.cn)

备注:赵博华(1984-),男,黑龙江齐齐哈尔人,博士研究生,2007年于哈尔滨工业大学获得学士学位,主要从事机器视觉及物体三维形貌测量等方面的研究。

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