Development of white light confocal microscopy with innovative fringe projection for full-field micro surface profilometry

2005 ◽  
Author(s):  
Liang-Chia Chen ◽  
Wei-Jei Kao
Keyword(s):  
Confocal Microscopy ◽  
White Light ◽  
Fringe Projection ◽  
Full Field ◽  
Surface Profilometry

Full field of view super-resolution imaging based on two static gratings and white light illumination

2008 ◽  
Vol 47 (17) ◽  
pp. 3080 ◽  
Author(s):  
Javier García ◽  
Vicente Micó ◽  
Dan Cojoc ◽  
Zeev Zalevsky
Keyword(s):  
White Light ◽  
Super Resolution ◽  
Field Of View ◽  
Light Illumination ◽  
Full Field ◽  
Resolution Imaging ◽  
White Light Illumination

scholarly journals Novel Boundary Edge Detection for Accurate 3D Surface Profilometry Using Digital Image Correlation

2018 ◽  
Vol 8 (12) ◽  
pp. 2541 ◽  
Author(s):  
Liang-Chia Chen ◽  
Ching-Wen Liang
Keyword(s):  
Digital Image Correlation ◽  
Edge Detection ◽  
Digital Image ◽  
Optical Diffraction ◽  
Image Correlation ◽  
Detection Accuracy ◽  
Boundary Edge ◽  
Discontinuous Surface ◽  
Full Field ◽  
Surface Profilometry

Digital image correlation (DIC) has emerged as a popular full-field surface profiling technique for analyzing both in-plane and out-of-plane dynamic structures. However, conventional DIC-based surface 3D profilometry often yields erroneous contours along surface edges. Boundary edge detection remains one of the key issues in DIC because a discontinuous surface edge cannot be detected due to optical diffraction and height ambiguity. To resolve the ambiguity of edge measurement in optical surface profilometry, this study develops a novel edge detection approach that incorporates a new algorithm using both the boundary subset and corner subset for accurate edge reconstruction. A pre-calibrated gauge block and a circle target were reconstructed to prove the feasibility of the proposed approach. Experiments on industrial objects with various surface reflective characteristics were also conducted. The results showed that the developed method achieved a 15-fold improvement in detection accuracy, with measurement error controlled within 1%.

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