Shape From Shading (SFS) is an important research domain in the computer vision fields, this paper adopted 3D reconstruction method to reconstruct the contour of surface, to acquire the height value of micro-surface, which established the foundation for swift measuring surface quality. Computer micro-vision is taken as the detection means. The 3D topography and roughness parameters of the workpiece surface were obtained by 3D reconstructian of the gray images of the workpiece surface using shape From Shading. The SFS algorithm based on cook-torrance illuminant model was applied according to reflective characteristics of the metal micro-surface, 3D topography reconstruction and roughness detection of the milled surface were completed. The results show that the surface roughness can be detected quickly and accurately in this method. The new ideas and methods about the in-situ detection of roughness is provided.%明暗恢复形状(Shape From Shading,简称SFS)是计算机视觉中一个重要的研究课题,该算法应用于工件表面微观形貌重建,为快速检测表面质量奠定了基础.以计算机显微视觉为检测手段,采用明暗恢复形状方法,重建端铣加工表面微观形貌,进而检测表面粗糙度.根据微观金属表面反射特性,采用基于Cook-Torrance光照模型的明暗恢复形状算法,完成了端铣加工表面图像三维形貌重构与表面粗糙度参数检测.试验结果表明,该方法可以快速实现加工表面粗糙度参数的准确检测,为加工过程中粗糙度的在线检测提供了新的思路和方法.
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