Special Section on Computational Approaches to Imaging LADAR

Adaptive spatial filtering based on region growing for automatic analysis in digital holographic microscopy

[+] Author Affiliations
Jiansu Li

Xi’an Jiaotong University, School of Mechanical Engineering, No. 28, Xianning West Road, Xi’an 710049, China

Zhao Wang

Xi’an Jiaotong University, School of Mechanical Engineering, No. 28, Xianning West Road, Xi’an 710049, China

Jianmin Gao

Xi’an Jiaotong University, School of Mechanical Engineering, No. 28, Xianning West Road, Xi’an 710049, China

Xi’an Jiaotong University, State Key Laboratory for Manufacturing Systems Engineering, No. 28, Xianning West Road, Xi’an 710049, China

Yun Liu

Xi’an Jiaotong University, School of Mechanical Engineering, No. 28, Xianning West Road, Xi’an 710049, China

Junhui Huang

Xi’an Jiaotong University, School of Mechanical Engineering, No. 28, Xianning West Road, Xi’an 710049, China

Opt. Eng. 54(3), 031103 (Oct 14, 2014). doi:10.1117/1.OE.54.3.031103
History: Received June 10, 2014; Revised August 3, 2014; Accepted August 7, 2014
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Abstract.  The adaptive spatial filtering method is commonly adopted to extract the +1 term spectrum in digital holography for real-time dynamic analysis. However, the typical filtering method is not satisfactory for automatic analysis, because the reset of the filtering window is needed to extract the area of the +1 term spectrum. Therefore, an adaptive spatial filtering method based on region growing and the characteristic of the spectrum separation is proposed. Its filtering window is automatically formed by region growing. The key parameters, including threshold and seed point, are set by the intensity distribution of the hologram spectrum. Then the adaptive filtering extracting the +1 term spectrum is realized by multiplying the hologram spectrum by the filtering window. Compared to the typical filtering method, the experimental results of a microhole array and a phase step show that the proposed method has better adaptability and a higher precision. Moreover, the applicability of this method for different uses is also demonstrated by experiments with a microhole array and a phase step.

© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Jiansu Li ; Zhao Wang ; Jianmin Gao ; Yun Liu and Junhui Huang
"Adaptive spatial filtering based on region growing for automatic analysis in digital holographic microscopy", Opt. Eng. 54(3), 031103 (Oct 14, 2014). ; http://dx.doi.org/10.1117/1.OE.54.3.031103


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