1 November 2001 Improvement of measuring accuracy of spatial fringe analysis method using Kalman filter and its application
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When the spatial fringe analysis method based on the moire technique is applied to a noisy fringe image, problems arise in the processing with, for example, phase unwrapping, accuracy of analysis, and so on. A digital filter technique and a filter based on time series analysis are applied to the spatial fringe analysis method to solve these problems. In a simulation with a model of the fringe image, results show that the spatial fringe analysis method using digital filters is highly robust against a noise in an image, and that the method using a Kalman filter can smoothly and accurately detect the phase map of the object with a continuous phase distribution. Furthermore, the method is applied to analyze a speckle fringe image in ESPI. A new speckle interferometry based on the proposed method can analyze specklegrams with a normal ESPI system. The results show that a spatial fringe analysis method based on the moire technique can analyze accurately the phase of a speckle fringe image using only a single fringe image. The proposed method can be anticipated to accelerate the use of ESPI in industry.
©(2001) Society of Photo-Optical Instrumentation Engineers (SPIE)
Yasuhiko Arai and Shunsuke Yokozeki "Improvement of measuring accuracy of spatial fringe analysis method using Kalman filter and its application," Optical Engineering 40(11), (1 November 2001). https://doi.org/10.1117/1.1410103
Published: 1 November 2001
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Cited by 14 scholarly publications.
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KEYWORDS
Fringe analysis

Filtering (signal processing)

Digital filtering

Signal processing

Speckle

Image processing

Image analysis

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