scholarly journals Object Shape Measurement Based on Brox Optical Flow Estimation and Its Correction Method

Photonics ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 109
Author(s):  
Yuxin Tang ◽  
Ping Sun ◽  
Qing Dai ◽  
Chao Fan ◽  
Zhifang Lei

In this work, a new method of measuring surface shape based on Brox optical flow estimation is presented. The measuring system consists of a projector, a measured object and a charge coupled device (CCD) camera. The grating fringes are projected onto the reference plane at a small angle. Two fringe images—before and after placing the measured object on the reference plane—are captured, respectively. Then, the optical flow field between two images is evaluated by using Brox optical flow algorithm. The theoretical relationship between the optical flow field and the height of the measured surface is established. According to the relationship, the height distribution of the measured object can be retrieved quickly without phase-to-height transformation. However, the calculated height distribution has been found to be deviated from its true value. To solve the problem, a correction scheme suitable for the optical flow method is proposed. By using the correction scheme, the accuracy of the calculated result is greatly improved. Simulations and experiments are completed to verify the feasibility of the proposed method and the accuracy of the correction method. The results show that the proposed method is more accurate than that of the Fourier transform method. Compared with traditional surface shape measurement, the optical flow method has some obvious advantages: (1) Only two frame images are required to recover the height distribution. (2) Relatively simple in measurement process and calculation so less time consuming. (3) Because the optical flow method contains time factor itself, it is more suitable for dynamic measurement. (4) No restrictions on projection pattern.

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Gen Wang ◽  
Dongyong Wang ◽  
Wei Han ◽  
Jian Yin

This study adopted an improved fuzzy clustering and optical flow method for the multiscale identification and forecasting of a cloud system based on the cloud images from a 10.8-micron infrared channel of the Advanced Geosynchronous Radiation Imager. First, we used the locally constrained fuzzy c-means (FCM) clustering method to identify typhoon-dominant cloud systems. Second, we coupled the background field-constrained optical flow method with the semi-Lagrangian scheme to forecast typhoon-dominant cloud systems. The experimental results for Typhoon Maria showed that the improved FCM method was able to effectively identify changes in the cloud system while retaining its edge information through the effective removal of the offset field. The identified dominant cloud system was consistent with the precipitation field of the Global Precipitation Measurement mission. We optimized the semi-Lagrangian nonlinear extrapolation of the optical flow field by introducing background field information, thus improving the forecast accuracy of the optical flow field. Based on the assessment indicators of structural similarity, normalized mutual information, peak signal-to-noise ratio, relative standard deviation, and root mean square error, the forecast results demonstrated that the forecast effect of the background field-constrained optical flow method was better than that of the standard optical flow method.


2007 ◽  
Vol 188 (3) ◽  
pp. W276-W280 ◽  
Author(s):  
Drew A. Torigian ◽  
Warren B. Gefter ◽  
John D. Affuso ◽  
Kiarash Emami ◽  
Lawrence Dougherty

2021 ◽  
Vol 33 (10) ◽  
pp. 101702
Author(s):  
Tianshu Liu ◽  
Robert Zboray ◽  
Pavel Trtik ◽  
Lian-Ping Wang

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