Spacing detection method for shearing interference fringes containing speckle noises

Shuman He; Chenguang Cai; Zhihua Liu; Ying Wang; Huichao Shi

doi:10.1117/12.2557203

3 January 2020 Spacing detection method for shearing interference fringes containing speckle noises

Shuman He, Chenguang Cai, Zhihua Liu, Ying Wang, Huichao Shi

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113730J (2020) https://doi.org/10.1117/12.2557203
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

Due to environmental illumination and other factors, actual shearing interference image used to measure the rotation angle contains high-frequency speckle noises. According to the characteristics of shearing interference images, a low-pass filter based on homomorphic filtering principle is selected to filter these images. The desired filtering result can be achieved by adjusting the filter parameters such as the cutoff frequency radius and the order of the filter. The Hilditch thinning algorithm is applied to extract the center of the fringes to calculate the spacing between neighbor fringes. The accuracy of the algorithm is verified by the actual and simulation experiments with the error of fringe spacing detection less than 0.01%.

Citation Download Citation

Shuman He, Chenguang Cai, Zhihua Liu, Ying Wang, and Huichao Shi "Spacing detection method for shearing interference fringes containing speckle noises", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113730J (3 January 2020); https://doi.org/10.1117/12.2557203

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KEYWORDS

Image filtering

Speckle

Linear filtering

Image processing

Digital filtering

Fourier transforms

Optical filters

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