Yu Zijian
College of Mechanical and Electrical Engineering, Xi′an Polytechnic University，Xi′an 710048, ChinaYang Pengcheng
College of Mechanical and Electrical Engineering, Xi′an Polytechnic University，Xi′an 710048, ChinaLian Liping
College of Mechanical and Electrical Engineering, Xi′an Polytechnic University，Xi′an 710048, ChinaXiao Yuan
College of Mechanical and Electrical Engineering, Xi′an Polytechnic University，Xi′an 710048, ChinaZhu Xindong
2.Ministry of Education Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi′an Jiaotong University, Xi′an 710049, China；3.Shaanxi Province Key Laboratory of Quantum Information and Quantum Optoelectronic Devices,School of Physics,Xi′an Jiaotong University,Xi′an 710049,China1.College of Mechanical and Electrical Engineering, Xi′an Polytechnic University，Xi′an 710048, China; 2.Ministry of Education Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi′an Jiaotong University, Xi′an 710049, China;3.Shaanxi Province Key Laboratory of Quantum Information and Quantum Optoelectronic Devices,School of Physics,Xi′an Jiaotong University,Xi′an 710049,China
TN247
The tooth flank region that reflects the tooth flank shape information in the interferogram is surrounded by background noise, and its processing accuracy has a great impact on the subsequent processing steps such as phase unwrapping and the interferogram registration, which is directly related to the accuracy of the final measurement result. Aiming at the phenomenon that there are spurious fringes in the boundary of tooth flank interferogram, a tooth flank region segmentation method combining Butterworth filter and Haar wavelet is proposed by analyzing the distribution of tooth flank interferogram fringes. Finally, under the experimental conditions of this paper, it shows that the proposed method can exclude and correct the wrong phase values of the unwrapping in the boundary spurious fringe regions of the tooth flank interferogram from the valid measuring region by comparing with the time-domain segmentation method, which proves that the method based on the frequency domain can effectively improve the accuracy of the segmentation of the tooth flank region of the interferogram.
