• Chinese Journal of Lasers
  • Vol. 47, Issue 8, 814003 (2020)
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
  • show less
    DOI: 10.3788/CJL202047.0814003 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    References

    [1] Wang D Y, Huang H C, Zhou X et al. Phase-contrast imaging by the continuous-wave terahertz in-line digital holography[J]. Chinese Journal of Lasers, 41, 0809003(2014).

    [2] Yan Y Q, Zhao C Q, Xu W D et al. Research on the terahertz active ghost imaging technology[J]. Chinese Journal of Lasers, 45, 0814001(2018).

    [3] Adams R, Bischof L. Seeded region growing[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16, 641-647(1994).

    [4] Chaibou M S, Conze P H, Kalti K et al. Adaptive strategy for superpixel-based region-growing image segmentation[J]. Journal of Electronic Imaging, 26, 061605(2017).

    [5] Ghosh P, Mitchell M, Tanyi J A et al. Incorporating priors for medical image segmentation using a genetic algorithm[J]. Neurocomputing, 195, 181-194(2016).

    [6] Mao Y J, Li S K, Wang X Z et al. Lithographic tool-matching method based on differential evolution algorithm[J]. Acta Optica Sinica, 39, 1222002(2019).

    [7] Ma W P, Huang Y Y, Li H et al. Image segmentation based on rough set and differential immune fuzzy clustering algorithm[J]. Journal of Software, 25, 2675-2689(2014).

    [8] Lei M, Huang Z J, Ma F L. A THz image segmentation algorithm based on fuzzy local information c-means clustering[J]. Manufacturing Automation, 37, 118-120(2015).

    [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).

    [11] Li R Z, Liu Y Y, Yang M et al. Three-dimensional point cloud segmentation algorithm based on improved region growing[J]. Laser & Optoelectronics Progress, 55, 051502(2018).

    [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).

    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
    Download Citation