A Sonar Image Segmentation Algorithm based on Two-Dimensional Spatio-Temporal Fuzzy Entropy

被引：0
|
作者：
Lu Zhen [1 ]
Chen Yuchao [1 ]
Zhang Tiedong [2 ]
Yu Jun [1 ]
机构：
[1] China Ship Sci Res Ctr, Wuxi, Jiangsu, Peoples R China
[2] Harbin Engn Univ, Harbin, Peoples R China
来源：
2018 IEEE 8TH INTERNATIONAL CONFERENCE ON UNDERWATER SYSTEM TECHNOLOGY: THEORY AND APPLICATIONS (USYS) | 2018年
关键词：
sonar image; image segmentation; two-dimensional entropy; fuzzy theory; frame difference;
D O I：
暂无
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
Firstly, this article introduces a two-dimensional fuzzy entropy threshold segmentation method, taking characteristics of underwater sonar image of moving target into account, the concept of time in the traditional frame difference motion detection method is used. To determine the grayscale image segmentation threshold, a two-dimensional spatiotemporal fuzzy entropy algorithm is established. The algorithm is used in forward-looking sonar image threshold segmentation to verify the applicability and good performance. Compared to other threshold algorithms, the algorithm of this article can obtain better segmentation threshold value and have more advantages in the processing of sonar image which contains more noise.
引用
收藏
页数：5
相关论文
共 50 条
  • [1] Infrared image segmentation based on two-dimensional maximum fuzzy entropy with genetic algorithm
    Wu, J
    Li, J
    Qiu, Y
    Liu, J
    Tian, JW
    INFRARED COMPONENTS AND THEIR APPLICATIONS, 2005, 5640 : 549 - 558
  • [2] A two-dimensional image segmentation method based on genetic algorithm and entropy
    Abdel-Khalek, S.
    Ben Ishak, Anis
    Omer, Osama A.
    Obada, A. -S. F.
    OPTIK, 2017, 131 : 414 - 422
  • [3] An image segmentation method based on two-dimensional entropy and variance
    Xue, Juntao
    Liu, Zhengguang
    Che, Xiuge
    FOURTH INTERNATIONAL CONFERENCE ON PHOTONICS AND IMAGING IN BIOLOGY AND MEDICINE, PTS 1 AND 2, 2006, 6047
  • [4] Infrared human image segmentation using two-dimensional fuzzy tsallis entropy
    Yang, Shuhong
    Liu, Weining
    Sun, Dihua
    Zhao, Min
    ICIC Express Letters, 2012, 6 (07): : 1733 - 1739
  • [5] Algorithm for spatio-temporal heart segmentation
    Majcenic, Z
    Loncaric, S
    MEDICAL IMAGING 2000: IMAGE PROCESSING, PTS 1 AND 2, 2000, 3979 : 936 - 943
  • [6] Traffic Sign Image Segmentation Algorithm Based on Improved Spatio-Temporal Map Convolution
    Zou, Qianying
    Xiao, Lin
    Xu, Guang
    Wang, Xiaofang
    Mu, Nan
    GREEN, PERVASIVE, AND CLOUD COMPUTING, GPC 2022, 2023, 13744 : 81 - 98
  • [7] Spatio-temporal image segmentation using optical flow and clustering algorithm
    Galic, S
    Loncaric, S
    IWISPA 2000: PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS, 2000, : 63 - 68
  • [8] Edge Detection of Welding Seam Image Based on Two-dimensional Fuzzy Entropy and Genetic Algorithm
    Dang Xiangying
    Li Dan
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING, 2015, 121 : 703 - 706
  • [9] Image Segmentation Based on Two-Dimensional Inter-Class Cross Entropy and Chaos Optimization Algorithm
    Zhang Xinming
    Zhang Huiyun
    2009 INTERNATIONAL FORUM ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 2, PROCEEDINGS, 2009, : 319 - 322
  • [10] A fast infrared image segmentation method based on two-dimensional entropy and particle swarm optimization algorithm
    Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China
    Moshi Shibie yu Rengong Zhineng, 2008, 2 (155-159):
12345