Laser & Optoelectronics Progress, Volume. 61, Issue 10, 1011004(2024)

Edge Detection Technology Based on Computational Ghost Imaging Using Scharr Operator

Yu Yao, Yang Zheng, Ziyi Cheng, Chao Gao, Xiaoqian Wang**, and Zhihai Yao*
Author Affiliations
  • College of Science, Changchun University of Science and Technology, Changchun 130022, Jilin, China
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    Figures & Tables(6)
    Experimental setup for computational ghost imaging
    Speckle movement. (a) Speckle movement method; (b) original image of the 40th speckle image,corresponding to K0; (c)‒(j) the 40th speckle images after movement
    The processing results of binary character “cust” and image “lena”.(a) Binary character “cust” image;(b)“cust” simulation image based on DCT speckle and Sobel operator;(c)“cust"simulation image based on DCT speckle and improved template Sobel operator;(d)“cust” simulation image based on DCT speckle and Scharr operator;(e)“cust” simulation image based on DCT speckle and improved template Scharr operator;(f)“lena” image;(g)“lena” simulation image based on DCT speckle and Sobel operator;(h)“lena” simulation image based on DCT speckle and improved template Sobel operator;(i)“lena” simulation image based on DCT speckle and Scharr operator;(j)“lena” simulation image based on DCT peckle and improved template Scharr operator
    Normalized intensity distribution results of the “lena” image using Sobel and Scharr operators. (a) “lena” image; (b) “lena” image normalized using the improved template Sobel operators for intensity distribution results of edge detection line 5; (c) “lena” image normalized using the improved template Scharr operators for intensity distribution results of edge detection line 5
    The processing results of “cust” and “GI” at different sampling numbers. (a) Original image of “cust”; (b) simulation diagram of 1024 undersampling edge extraction results for “cust”; (c) simulation diagram of 2048 undersampling edge extraction results for “cust”; (d) simulation diagram of 3072 undersampling edge extraction results for “cust”; (e) simulation diagram of 4096 full sampling edge extraction results for “cust”; (f) original image of “GI”; (g) simulation diagram of 1024 undersampling edge extraction results for “GI”; (h) simulation diagram of 2048 undersampling edge extraction results for “GI”; (i) simulation diagram of 3072 undersampling edge extraction results for “GI”; (j) simulation diagram of 4096 full sampling edge extraction results for “GI”
    Computational ghost imaging experiment. (a) Experimental setup diagram; (b) the metal aluminum plate used in the experiment,with a hollow “C” carved in the center; (c) the result graph of speckle movement using the Scharr operator without improved template; (d) the result graph of speckle movement using the improved template Scharr operator; (e) the result graph of speckle movement using Sobel operator with improved template
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    Yu Yao, Yang Zheng, Ziyi Cheng, Chao Gao, Xiaoqian Wang, Zhihai Yao. Edge Detection Technology Based on Computational Ghost Imaging Using Scharr Operator[J]. Laser & Optoelectronics Progress, 2024, 61(10): 1011004

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    Paper Information

    Category: Imaging Systems

    Received: Oct. 9, 2023

    Accepted: Nov. 8, 2023

    Published Online: Apr. 29, 2024

    The Author Email: Xiaoqian Wang (xqwang21@163.com), Zhihai Yao (yaozh@cust.edu.com)

    DOI:10.3788/LOP232250

    CSTR:32186.14.LOP232250

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