Image Segmentation Algorithm based on Improved Genetic Algorithms and Grey Relational Degree Analysis

被引：0
|
作者：
Gui Yufeng [1 ]
Su Peng [1 ]
Chen Xianqiao [1 ]
机构：
[1] Wuhan Univ Technol, Wuhan, Peoples R China
来源：
PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS) | 2015年
关键词：
Image segmentation; Genetic Algorithms; Fitness function; Grey Relational degree;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to obtain the optimal segmentation threshold and get rid of the local optimal solution of image segmentation, this paper reconstructs crossover and mutation rate which will not be zero at any time. Meanwhile, crossover and mutation genetic operations are used to search the optimal segmentation threshold, where the fitness function is the largest two-dimensional entropy function. Then, grey correlation analysis, which can get comprehensive correlation between regions, is performed on splitting images to guide region merging. Simulation results show that this method can effectively segment the target area with certain noise immunity.
引用
收藏
页码：194 / 198
页数：5
相关论文
共 50 条
  • [31] An Improved Image Segmentation Algorithm
    Liao, Fan
    Wang, Linjing
    2016 ISSGBM INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND SOCIAL SCIENCES (ISSGBM-ICS 2016), PT 3, 2016, 68 : 372 - 378
  • [32] An Improved Algorithm for Image Segmentation
    Wu, Weiwen
    Wang, Zhiyan
    Lin, Zhengchun
    2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL III, 2010, : 309 - 312
  • [33] Novel method of evaluating image segmentation algorithms based on activity degree
    Zheng X.
    Peng Z.-M.
    Xing Y.
    Zheng, Xin (zheng_xin2@sina.com), 1600, Editorial Board of Jilin University (46): : 311 - 317
  • [34] An improved image segmentation algorithm based on Otsu method
    Wang Hongzhi
    Dong Ying
    INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2007: RELATED TECHNOLOGIES AND APPLICATIONS, 2008, 6625
  • [35] An automatic image segmentation algorithm based on improved FCM
    Zhou, X.-M. (zhouxm@scut.edu.cn), 1600, South China University of Technology (42): : 1 - 7
  • [36] AN IMPROVED STEREO MATCHING ALGORITHM BASED ON IMAGE SEGMENTATION
    Zhu, Chenghui
    Wang, Jianping
    Mu, Daoming
    Ren, Ranran
    2011 INTERNATIONAL CONFERENCE ON INSTRUMENTATION, MEASUREMENT, CIRCUITS AND SYSTEMS (ICIMCS 2011), VOL 2: FUTURE COMMUNICATION AND NETWORKING, 2011, : 81 - 84
  • [37] Improved color image segmentation algorithm based on GrabCut
    Wang Rui
    Peng Jinye
    Che Liping
    Hou Yuting
    MECHATRONICS, ROBOTICS AND AUTOMATION, PTS 1-3, 2013, 373-375 : 464 - 467
  • [38] An Improved Image Segmentation Algorithm Based on The Watershed Transform
    Cui, Xuemei
    Yang, Guowei
    Deng, Yan
    Wu, Shaolong
    2014 IEEE 7TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC), 2014, : 428 - 431
  • [39] Image thresholding segmentation based on oriented genetic algorithm and maximum entropy
    Fan, Qingwu
    Li, Lanbo
    Chen, Guanghuang
    Zhou, Xingqi
    Wu, Shaoen
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 7878 - 7883
  • [40] Improved Image Segmentation Algorithms based on Convolutional Neural Networks
    Liu, Zichen
    Xu, Jian
    Yin, Liangang
    2024 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, ICMA 2024, 2024, : 555 - 560
12345