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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >A novel depth-from-hybrid-focus method for surface morphology with depth discontinuity
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A novel depth-from-hybrid-focus method for surface morphology with depth discontinuity

机译:深度不连续的表面形态学的一种新型的“从混合焦点深度”方法

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摘要

A novel depth-from-hybrid-focus (DFHF) method is proposed for the reconstruction and inspection of surface morphology with high depth discontinuity. Multiple laser stripes and their hybrid focus are incorporated in DFHF. First of all, a calibration table for estimating rough depth information is generated in DFD. The calibration table means a correlation between the depth of a reference block and the width of laser stripes. Secondly, the rough depth information can be speedily computed using the calibration table, after the width of laser stripes is extracted in only one defocused image of a surface with depth discontinuity. Finally, depth-from-focus (DFF) with a fine step interval is applied to the vicinity of the rough depth information from DFD, in order to make an accurate measurement. Through the fusion of DFD and DFF, the novel DFHF improves highly problems of two previous methods in high depth discontinuity simultaneously. Experiments show that DFHF gives more accurate and reliable results than DFD and more speedy responses than DFF. Keywords Depth-from-defocus (DFD) - Depth-from-focus (DFF) - Depth-from-hybrid-focus (DFHF) - Depth discontinuity - Hybrid focus - Surface morphology - Multiple laser stripe
机译:提出了一种新的深度聚焦混合(DFHF)方法,用于重建和检查具有高度不连续性的表面形态。 DFHF中包含了多个激光条纹及其混合焦点。首先,在DFD中生成用于估计粗略深度信息的校准表。校准表意味着参考块的深度与激光条纹的宽度之间的相关性。其次,在仅深度不连续的表面的一个散焦图像中提取出激光条纹的宽度之后,可以使用校准表快速计算出粗略的深度信息。最后,将具有精细步长间隔的离焦深度(DFF)应用于来自DFD的粗略深度信息附近,以进行准确的测量。通过DFD和DFF的融合,新型DFHF在高深度不连续性方面同时改善了前两种方法的严重问题。实验表明,DFHF比DFD提供更准确和可靠的结果,并且比DFF提供更快的响应速度。散焦深度(DFD)-散焦深度(DFF)-杂散深度(DFHF)-深度不连续性-混合焦点-表面形态-多个激光条纹

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