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从立体光学显微镜的显微镜图像中提取激光条纹的轮廓。

Contour extraction of a laser stripe located on a microscope image from a stereo light microscope.

作者信息

Wang Yuezong, Geng Benliang, Long Chao

机构信息

College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China.

出版信息

Microsc Res Tech. 2019 Mar;82(3):260-271. doi: 10.1002/jemt.23168. Epub 2019 Jan 11.

DOI:10.1002/jemt.23168
PMID:30633434
Abstract

A stereo light microscope has a special optical structure that consists of two optical paths. With two cameras fitted on its imaging planes, a microscopic binocular vision system can be constructed, and this system can be applied in three-dimensional (3D) shape measurements of a microscopic object. A novel-shape reconstruction system is developed in this article composed of laser fringe scanning and a stereo light microscope. A laser projector emits a thin light sheet and projects it onto the microscopic object's surface. The microscopic object is placed on a micro-displacement mechanism and moved in a given direction. The entire surface of the object is scanned by the light sheet. This system captures a series of microscopic images of the laser stripe, which are used to restore the 3D shape of the object. In this article, we mainly focus on the study of the laser stripe detection method, which is derived based on the Canny rule. First, the Canny rule outputs pixels at the left and right edges of the laser stripe. Then, a subpixel edge extraction method is proposed based on polynomial fitting that outputs the center curve of the laser stripe. Finally, an edge filter is used to smooth the edge burrs, and the Hermite interpolation method is used to link the broken edges and construct continuous, smoothing edge contours. The results show that this method can effectively find the subpixel position of the laser stripe and output high-quality edge contours. The method is suitable for extracting the contours of a laser stripe located in a microscope image.

摘要

立体光学显微镜具有由两条光路组成的特殊光学结构。通过在其成像平面上安装两个摄像头,可以构建一个微观双目视觉系统,该系统可应用于微观物体的三维(3D)形状测量。本文开发了一种由激光条纹扫描和立体光学显微镜组成的新型形状重建系统。激光投影仪发射一个薄光片并将其投射到微观物体的表面。微观物体放置在微位移机构上并沿给定方向移动。物体的整个表面由光片扫描。该系统捕获一系列激光条纹的微观图像,用于恢复物体的3D形状。在本文中,我们主要专注于基于Canny规则推导的激光条纹检测方法的研究。首先,Canny规则输出激光条纹左右边缘的像素。然后,基于多项式拟合提出了一种亚像素边缘提取方法,该方法输出激光条纹的中心曲线。最后,使用边缘滤波器平滑边缘毛刺,并使用Hermite插值方法连接断裂边缘并构建连续、平滑的边缘轮廓。结果表明,该方法能够有效地找到激光条纹的亚像素位置并输出高质量的边缘轮廓。该方法适用于提取位于显微镜图像中的激光条纹的轮廓。

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