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Edge detection based on gradient ghost imaging
Liu, Xue-Feng; Yao, Xu-Ri; Lan, Ruo-Ming; Wang, Chao; Zhai, Guang-Jie
Source PublicationOptics Express
AbstractWe 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. © 2015 Optical Society of America.
Indexed BySCI ; EI
Document Type期刊论文
Recommended Citation
GB/T 7714
Liu, Xue-Feng,Yao, Xu-Ri,Lan, Ruo-Ming,et al. Edge detection based on gradient ghost imaging[J]. Optics Express,2015,23(26):33802-33811.
APA Liu, Xue-Feng,Yao, Xu-Ri,Lan, Ruo-Ming,Wang, Chao,&Zhai, Guang-Jie.(2015).Edge detection based on gradient ghost imaging.Optics Express,23(26),33802-33811.
MLA Liu, Xue-Feng,et al."Edge detection based on gradient ghost imaging".Optics Express 23.26(2015):33802-33811.
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2015232633802-33811.(1282KB)期刊论文作者接受稿开放获取CC BY-NC-SAApplication Full Text
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