Chinese Optics Letters, Volume. 19, Issue 12, 121101(2021)
Fine edge detection in single-pixel imaging
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Fig. 2. Simulation results. (a) ‘HNU’ binary image. (b) Original edge image of (a). (c)–(e) The results of edge detection based on Scheme I, Scheme II, and LFSI, respectively.
Fig. 3. Simulation results after adding noise. (a)–(c) Results of edge detection based on Scheme I, Scheme II, and LFSI. (d) Morphological processing results of (c). First row: adding SNR = 10 dB detection noise and no light source noise; second row: adding SNR = 10 dB light source noise and no detection noise; third row: adding SNR = 10 dB detection noise and light source noise.
Fig. 4. Simulation results after adding noise. (a1), (a2) Original image and edge image of ‘windmill’ grayscale image. (b)–(d) Results of edge detection based on Scheme I, Scheme II, and LFSI, respectively. (e) Morphological processing results of (d). First row: adding SNR = 10 dB detection noise and no light source noise; second row: adding SNR = 10 dB light source noise and no detection noise; third row: adding SNR = 10 dB detection noise and light source noise.
Fig. 5. Experimental results. (a1), (b1) Original image and edge of ‘G’ binary image. (a2), (b2) Original image and edge of ‘ghost’ image. (c)–(e) Experimental results of edge detection based on Scheme I, Scheme II, and LFSI, respectively. (f) Morphological processing results of (e).
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Liyu Zhou, Xianwei Huang, Qin Fu, Xuanpengfan Zou, Yanfeng Bai, Xiquan Fu. Fine edge detection in single-pixel imaging[J]. Chinese Optics Letters, 2021, 19(12): 121101
Paper Information
Category: Imaging Systems and Image Processing
Received: Apr. 25, 2021
Accepted: Jul. 7, 2021
Posted: Jul. 9, 2021
Published Online: Sep. 15, 2021
The Author Email: Yanfeng Bai (yfbai@hnu.edu.cn), Xiquan Fu (fuxq@hnu.edu.cn)
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