微铣刀同轴全息图像增强方法

程亚亚; 于化东; 于占江; 许金凯; 张向辉

doi:10.37188/CO.2019-0217

Volume 13 Issue 4

Aug. 2020

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Article Contents

Chinese Optics > 2020 > 13(4): 705-712.

CHENG Ya-ya, YU Hua-dong, YU Zhan-jiang, XU Jin-kai, ZHANG Xiang-hui. Method of enhancing the quality of in-line holographic images for micro-milling tool[J]. Chinese Optics, 2020, 13(4): 705-712. doi: 10.37188/CO.2019-0217

Citation:

CHENG Ya-ya, YU Hua-dong, YU Zhan-jiang, XU Jin-kai, ZHANG Xiang-hui. Method of enhancing the quality of in-line holographic images for micro-milling tool[J]. Chinese Optics, 2020, 13(4): 705-712. doi: 10.37188/CO.2019-0217

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Method of enhancing the quality of in-line holographic images for micro-milling tool

doi: 10.37188/CO.2019-0217

Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, ChangchunUniversity of Science and Technology, Changchun 130022, China

Funds: (The National Key Research and Development Plan Project (No. 2018YFB1107403); The “111” Project of China (No. D17017); Jilin Province Scientific and Technological Development Program (No. 20190101005JH and No. 20180201057GX).)

More Information

Corresponding author: yuhuadong@cust.edu.cn
Received Date: 13 Nov 2019
Rev Recd Date: 09 Dec 2019
Publish Date: 01 Aug 2020

Abstract

Abstract

When tool setting with digital in-line holography, the zero-order image and defocused twin-image can form strong and complex background noise, which gets superimposed on the real image and seriously reduces the quality of the reconstructed image. To improve quality of interferential images in digital in-line holography, a holographic image enhancement method using an improved self-snake model is proposed. The improved self-snake model selects a diffusion intensity according to the gradient of the initial image. The experimental results show that the improved self-snake model can avoid the appearance of jagged edges and “pseudo-contours” caused by large gradient background noise during the diffusion process. This improvement outweighs the shortcomings of the self-snake model in holographic imaging. In addition, compared with the phase retrieval and multi-plane reproduction approaches, the improved self-snake model filtering method proposed in this paper not only has better suppression for interferential images but also can enhance the edge of the tool, which is conducive to the actualization of tool-setting using on digital in-line holography.
- digital holography,
- twin-image,
- self-snake model,
- image denoising

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References(26)

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