Chinese Journal of Lasers, Volume. 47, Issue 8, 814003(2020)

Terahertz Holographic Reconstructed Image Segmentation Based on Optimized Region Growth by Evolutionary Algorithm

Wang Yutong* and Li Qi
Author Affiliations
  • National Key Laboratory of Science and Technology on Tunable Laser, Harbin Institute of Technology, Harbin, Heilongjiang 150080, China
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    References(13)

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    [9] Ayech M W, Ziou D. Terahertz image segmentation using k-means clustering based on weighted feature learning and random pixel sampling[J]. Neurocomputing, 175, 243-264(2016).

    [10] Tomasi C, Manduchi R. Bilateral filtering for gray and color images. [C]∥Sixth International Conference on Computer Vision, January 7, 1998, Bombay, India. New York: IEEE, 839-846(1998).

    [12] Storn R, Price K. Differential evolution: a simple and efficient heuristic for global optimization over continuous spaces[J]. Journal of Global Optimization, 11, 341-359(1997).

    [13] Wang Z, Bovik A C, Sheikh H R et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 13, 600-612(2004).

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    Wang Yutong, Li Qi. Terahertz Holographic Reconstructed Image Segmentation Based on Optimized Region Growth by Evolutionary Algorithm[J]. Chinese Journal of Lasers, 2020, 47(8): 814003

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    Paper Information

    Category: terahertz technology

    Received: Feb. 4, 2020

    Accepted: --

    Published Online: Aug. 17, 2020

    The Author Email: Yutong Wang (hit_wyt@sina.com)

    DOI:10.3788/CJL202047.0814003

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