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Binarization of ESPI fringe patterns based on local entropy
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Indexed by:Journal Papers

Date of Publication:2019-10-28

Journal:OPTICS EXPRESS

Included Journals:SCIE、EI

Volume:27

Issue:22

Page Number:32378-32391

ISSN No.:1094-4087

Abstract:The fringe skeleton method is the most straightforward analysis method for phase extraction and widely used in dynamic measurement. Binarization is often required in this method. In the traditional binarization methods, filtering is often a necessary step prior to binarization due to the influence of intrinsic speckle noises in ESPI fringe patterns. In this paper, we propose a binarization method based on local entropy and fuzzy c-means (FCM) clustering algorithm. In this method, the pixels in the given ESPI fringe pattern are clustered into white fringes and black fringes according to their local entropy instead of the original intensity information. There is no need to perform the filtering preprocessing, because the intrinsic speckle noises are utilized as essentials. We evaluate the performance of our method by applying it to the computer-simulated and real fringe patterns. Experimental results demonstrate that the proposed method can achieve the desired binarization results, and the binarization results can give desired skeleton results. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

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Supervisor of Master's Candidates

Gender:Male

Alma Mater:Dalian University of Technology (DUT)

Degree:Doctoral Degree

School/Department:State Key Laboratory of Industrial Equipment for Structral Analysis, Department of Engineering Mechanics

Discipline:Solid Mechanics. Applied and Experimental Mechanics. Engineering Mechanics. Mechanical Manufacture and Automation. Vehicle Engineering. Aerospace Mechanics and Engineering. mechanics of manufacturing process

Business Address:Room 321, Department of Engineering Mechanics

Contact Information:Tel.: 86 0411-84708406 Email: leizk@dlut.edu.cn

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