Compressive Computational Ghost Imaging Method Based on Region Segmentation

Wei Feng; Xiaodong Zhao; Shaojing Tang; Daxing Zhao

doi:10.3788/LOP57.101105

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 10 >Page 101105 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 10, 101105 (2020)

Compressive Computational Ghost Imaging Method Based on Region Segmentation

Wei Feng^1、2、*, Xiaodong Zhao¹, Shaojing Tang¹, and Daxing Zhao¹

Author Affiliations

¹School of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei 430068, China

²Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Wuhan, Hubei 430068, China

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DOI: 10.3788/LOP57.101105 Cite this Article Set citation alerts

Wei Feng, Xiaodong Zhao, Shaojing Tang, Daxing Zhao. Compressive Computational Ghost Imaging Method Based on Region Segmentation[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101105 Copy Citation Text

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Wei Feng, Xiaodong Zhao, Shaojing Tang, Daxing Zhao. Compressive Computational Ghost Imaging Method Based on Region Segmentation[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101105

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