Edge detection based on gradient ghost imaging

Optics Express
Xue-Feng LiuGuang-Jie Zhai

Abstract

We present an experimental demonstration of edge detection based on ghost imaging (GI) in the gradient domain. Through modification of a random light field, gradient GI (GGI) can directly give the edge of an object without needing the original image. As edges of real objects are usually sparser than the original objects, the signal-to-noise ratio (SNR) of the edge detection result will be dramatically enhanced, especially for large-area, high-transmittance objects. In this study, we experimentally perform one- and two-dimensional edge detection with a double-slit based on GI and GGI. The use of GGI improves the SNR significantly in both cases. Gray-scale objects are also studied by the use of simulation. The special advantages of GI will make the edge detection based on GGI be valuable in real applications.

References

Mar 24, 2005·Physical Review Letters·Alejandra ValenciaYanhua Shih
Sep 22, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Paul BaoXiaolin Wu
Oct 4, 2005·Optics Letters·Da ZhangXi-Hao Chen
Apr 2, 2009·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Sheng YiHamid Krim
Sep 28, 2010·Physical Review Letters·F FerriA Gatti
Aug 19, 2011·Optics Letters·Nian TianLing Fu
Dec 4, 2012·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Xue-Feng LiuGuang-Jie Zhai
Oct 17, 2014·Optics Express·Xu-Ri YaoGuang-Jie Zhai
Feb 5, 2015·Nature Communications·Zibang ZhangJingang Zhong

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Citations

Mar 31, 2017·Scientific Reports·Yuwang WangQionghai Dai
Jul 11, 2018·Journal of Biophotonics·Bo DaiXu Wang
Mar 14, 2018·Optics Express·Hongdou RenJozef Gruska
Jul 16, 2020·Optics Letters·Yifan LiuLei Gong
Mar 4, 2020·Optics Express·Heng WuXianmin Zhang
Nov 2, 2019·Optics Express·Cheng ZhouKang Xue

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