基于CCD摄像机石材表面粗糙度检测方法

赵民; 周嘉伟

光学技术, 2018, 44 (3): 310, 网络出版: 2018-06-09

基于CCD摄像机石材表面粗糙度检测方法

Detection method of stone surface roughness based on CCD camera

论文大纲

赵民 ^*周嘉伟

作者单位

沈阳建筑大学机械工程学院, 辽宁沈阳 100168

摘要

提出了基于聚焦融合的被测石材表面三维重构方法, 实现对石材大板表面微观质量的检测。通过CCD摄像机与放大镜头的组装作为图像传感器, 使其在驱动电机控制下沿垂直于被测石材大板表面的方向拍摄序列显微图像。将不同层面的图像采用改进的拉普拉斯算法提取出图中所有清晰区域并融合成一幅近似全焦图片 , 融合后的图片包含了被测石材大板表面的全部特征信息; 通过聚焦测度算子、高斯插值确定深度信息, 重构出被测石材大板表面三维轮廓, 得出量化的表面粗糙度数值; 与触针式轮廓仪测出的数值和轮廓线进行分析比较, 验证其精度和可行性。

Abstract

An approach to the three-dimensional reconstruction of the tested stone surface was put forward based on focused synthesis, which realized the measurement of stone slab surface's microscopic quality. As a combination of CCD camera and magnifying lens, the imaging sensor controlled by driving motor moved at a right angle to the surface of the stone slab photographing microscopy serial images. Then, the modified Laplace method was applied to extract and recombine the sharp parts from these images which were shot at different positions to the stone surface and to get an approximate all-focused image containing all the characteristics information of the tested stone slab's surface; the depth information of the image was determined by focused measure operators and Gaussian process, therefore the three-dimensional surface of the stone slab was reconstructed. Finally, the calculated surface roughness values were obtained; which compared with the values and profile lines determined by stylus profiler to verify this approach's accuracy and feasibility.

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赵民, 周嘉伟. 基于CCD摄像机石材表面粗糙度检测方法[J]. 光学技术, 2018, 44(3): 310. ZHAO Min, ZHOU Jiawei. Detection method of stone surface roughness based on CCD camera[J]. Optical Technique, 2018, 44(3): 310.

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