| 基于三维形貌重建的镗加工表面粗糙度检测 |
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| 引用本文： | 郭便.基于三维形貌重建的镗加工表面粗糙度检测[J].机械与电子,2011(5):25-29. |
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| 作者姓名： | 郭便 |
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| 作者单位： | 宝鸡文理学院机电工程系,陕西,宝鸡,721016 |
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| 摘 要： | 以计算机显微视觉为检测手段,采用明暗恢复形状方法重建加工表面微观形貌,进而检测加工表面粗糙度.根据微观金属表面反射特性,采用基于Torrance-Sparrow光照模型的明暗恢复形状算法,完成了镗加工表面图像三维形貌重构与表面粗糙度参数检测.
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| 关 键 词： | 三维形貌重建 表面粗糙度 光照模型 明暗恢复形状 显微视觉图像 |
Boring Surface Roughness Detection Based on 3D Topography Reconstruction |
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| GUO Bian.Boring Surface Roughness Detection Based on 3D Topography Reconstruction[J].Machinery & Electronics,2011(5):25-29. |
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| Authors: | GUO Bian |
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| Affiliation: | GUO Bian(Department of Mechanical Engineering,Baoji University of Arts and Science,Baoji 721016,China) |
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| Abstract: | Computer micro-vision is taken as the detection means.The 3D topography and roughness parameters of the workpiece surface was obtained by 3D reconstruction of the gray images of the workpiece surface using shape from shading.The SFS algorithm based on Torrance-Sparrow illuminant model was applied according to reflective characteristics of the metal micro-surface,3D topography reconstruction and roughness detection of the workpiece surface was completed. |
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| Keywords: | 3D surface reconstruction surface roughness illuminant model shape from shading（SFS） micro vision image |
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