机械与电子Issue(5)：25-29,5.
基于三维形貌重建的镗加工表面粗糙度检测
Boring Surface Roughness Detection Based on 3D Topography Reconstruction
摘要
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.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Key words
3D surface reconstruction/ surface roughness/ illuminant model/ shape from shading (SFS) /micro vision image分类
信息技术与安全科学引用本文复制引用
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):25-29,5.基金项目
宝鸡文理学院科研计划(ZK10140) （ZK10140）
