کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7925804 1512510 2018 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An improved principal component analysis based region matching method for fringe direction estimation
ترجمه فارسی عنوان
یک روش منطبق بر تجزیه و تحلیل مولفه بهبود یافته برای برآورد جهت حاشیه ای
کلمات کلیدی
بازیابی فاز، الگو حاشیه، جهت افقی، تجزیه و تحلیل مولفه اصلی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد مواد الکترونیکی، نوری و مغناطیسی
چکیده انگلیسی
The principal component analysis (PCA) and region matching combined method is effective for fringe direction estimation. However, its mask construction algorithm for region matching fails in some circumstances, and the algorithm for conversion of orientation to direction in mask areas is computationally-heavy and non-optimized. We propose an improved PCA based region matching method for the fringe direction estimation, which includes an improved and robust mask construction scheme, and a fast and optimized orientation-direction conversion algorithm for the mask areas. Along with the estimated fringe direction map, filtered fringe pattern by automatic selective reconstruction modification and enhanced fast empirical mode decomposition (ASRm-EFEMD) is used for Hilbert spiral transform (HST) to demodulate the phase. Subsequently, windowed Fourier ridge (WFR) method is used for the refinement of the phase. The robustness and effectiveness of proposed method are demonstrated by both simulated and experimental fringe patterns.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optics Communications - Volume 413, 15 April 2018, Pages 87-102
نویسندگان
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