Laser Technology, Volume. 46, Issue 2, 274(2022)

Maximum 2-D entropy image segmentation method based on improved sparrow algorithm

LIU Chang’an*, FENG Xueling, SUN Changhao, and ZHAO Lijuan
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    References(25)

    [1] [1] SHAPIRO L G, STOCKMAN G C. Computer vision[M]. New Jersey,USA: Prentice Hall, 2001: 279-325.

    [2] [2] WANG X L, YANG C L, XIE G S. Image thresholding segmentation on quantum state space[J]. Entropy, 2018, 20(10): 45-51.

    [3] [3] ZHAO J, ZHU S, YANG W J, et al. An image segmentation algorithm based on density peak clustering[J]. Computer Engineering, 2020, 46(2):274-278(in Chinese).

    [4] [4] ZANG F, ZHANG X H. Segmentation algorithm of distance regularization level set based on dislocation theory[J]. Acta Automatica Sinica, 2018, 44(5):943-952(in Chinese).

    [5] [5] CAI Q, LIU Y Q, CAO J, et al. A watershed image segmentation algorithm based on self-adaptive marking and interregional affinity pro-pagation clustering[J]. Acta Electronica Sinica, 2017, 45(8): 1911-1918(in Chinese).

    [6] [6] AGARWAL A, GOEL K. Comparative analysis of digital image for edge detection by using bacterial foraging & canny edge detector[C]//2016 Second International Conference on Computational Intelligence & Communication Technology (CICT). New York,USA: IEEE, 2016: 125-129.

    [7] [7] ZHU S, GAO R. A novel generalized gradient vector flow snake model using minimal surface and component-normalized method for medical image segmentation [J]. Biomedical Signal Processing and Control, 2016, 26: 1-10.

    [8] [8] MUKHOPADHYAY S, CHANDA B. A multiscale morphological a-pproach to local contrast enhancement[J]. Signal Processing, 2006, 80(4):685-696.

    [9] [9] TANG K Z, LIU B X, XU H Y, et al. A minimum cross entropy threshold selection method based on genetic algorithm control and decision[J]. Control and Decision, 2013, 28(12):1805-1810(in Ch-inese).

    [10] [10] RAN Q H, GONG Q, WANG K. A new class of image segmentation iterative algorithm based on one-dimensional renyi entropy[J]. Computer and Science, 2014, 41(s2):91-94 (in Chinese).

    [11] [11] LIU J Z, LI W Q. The automatic thresholding of gray-level pictures via two-dimensional Otsu method[J]. Acta Automatica Sinica, 1993, 19(1): 101-105 (in Chinese).

    [12] [12] ABUTALEB A S. Automatic thresholding of gray-level pictures using two-dimensional entropy[J]. Computer Vision Graphics and Image Processing, 1989, 47(1): 22-32.

    [13] [13] ZHANG X L, YAN H Y, XU Q J. Improved ant colony optimization based medical image thresholding segmentation[J]. Journal of Beijing Jiaotong University, 2016, 40(5):40-44(in Chinese).

    [14] [14] ZHANG X, LI Sh L. Research on particle swarm optimization algorithm in image fusion and segmentation[J]. Laser Journal, 2019, 40(11):84-87(in Chinese).

    [15] [15] LIU X J, LIU Y L, XU X X. Optimization of multi-threshold Otsu image segmentation by glowworm swarm algorithm with cell membrane mechanism[J]. Journal of Chinese Computer Systems, 2020, 41(2):410-415(in Chinese).

    [16] [16] CHEN Ch, XUAN Sh B, LEI H X. Image segmentation based on wolf pack algorithm and 2D maximum entropy[J]. Computer Engineering, 2018, 44(1):233-237(in Chinese).

    [17] [17] YANG X W, YIN H H, HAN X, et al. Mesh segmentation based on optimizing extreme learning machine with ant lion optimization[J]. Laser & Optoelectronics Progress, 2020, 57(4):041014(in Chin-ese).

    [18] [18] MIRJALILI S, LEWIS A. The whale optimization algorithm[J]. Advances in Engineering Software, 2016, 95(5):51-67.

    [19] [19] YONG L Q, LI Y H, JIA W. Literature survey on research and application of sine cosine algorithm[J]. Computer Engineering and Applications, 2020, 56(14):26-34(in Chinese).

    [20] [20] XUE J, SHEN B. A novel swarm intelligence optimization approach: Sparrow search algorithm[J]. Systems Science & Control Engineering, 2020, 8(1):22-34.

    [21] [21] HAN F F, LIU S, ZHAO Q H. A self-adaptive flower pollination algorithm based on t-distribution[J]. Mathematics in Practice and Theory, 2019, 49(2):157-165(in Chinese).

    [22] [22] LIU K, ZHAO L L, WANG H. Whale optimization algorithm based on elite opposition-based and crisscross optimization[J]. Journal of Chinese Computer Systems, 2020, 41(10):2092-2097(in Chin-ese).

    [23] [23] LI L H, HUA G G. Image segmentation of 2-D maximum entropy based on the improved genetic algorithm[J]. Laser Technology, 2019, 43(1):119-124(in Chinese).

    [24] [24] ZHOU J, WANG L, CHEN X Q. Image segmentation of 2-D maximum entropy based on the improved whale optimization algorithm[J]. Laser Technology, 2021, 45(3):378-385(in Chinese).

    [25] [25] ZHANG L, ZHANG L, MOU X Q, et al. FSIM: A feature similarity index for image quality assessment[J]. IEEE Transactions on Image Processing, 2011, 20(8): 17-23.

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    LIU Chang’an, FENG Xueling, SUN Changhao, ZHAO Lijuan. Maximum 2-D entropy image segmentation method based on improved sparrow algorithm[J]. Laser Technology, 2022, 46(2): 274

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    Paper Information

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    Received: Jan. 8, 2021

    Accepted: --

    Published Online: Mar. 8, 2022

    The Author Email: LIU Chang’an (liuchangan@ncepu.edu.cn)

    DOI:10.7510/jgjs.issn.1001-3806.2022.02.020

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