An active contour model for image segmentation using morphology and nonlinear Poisson's equation

被引：4
|
作者：
Chen Y. [1 ]
Wu L. [1 ]
Wang G. [1 ]
He H. [1 ]
Weng G. [1 ]
Chen H. [2 ]
机构：
[1] School of Mechanical and Electric Engineering, Soochow University, No. 8, Jixue Road, Jiangsu, Suzhou
[2] Department of Chemical and Materials Engineering, University of Alberta, Edmonton, T6G 1H9, AB
来源：
Optik | 2023年 / 287卷
基金：
中国国家自然科学基金;
关键词：
Active contour model; Morphology; Poisson's equation; Region-scalable fitting model;
D O I：
10.1016/j.ijleo.2023.170997
中图分类号：
学科分类号：
摘要：
Active contour model (ACM) is considered as a feasible tool to handle image segmentation problems via an unsupervised learning approach. This paper compensates the shortcomings of well-known ACMs to introduce erosion and dilation operations in mathematical morphology to fit the intensity differential functions of contours on both sides of the image. A nonlinear Poisson's equation is developed to deal with the interference of nonuniform noise within the image, and finally build a new model. This paper develops a new image processing approach using morphology and nonlinear Poisson's equation, which yields a fast and efficient algorithm among known similar image segmentation methods, and has a high level of accuracy in processing image segmentation. © 2023 Elsevier GmbH
引用
收藏
相关论文
共 50 条
  • [21] Image segmentation based on geometric active contour model
    Chen, Bo
    Dai, Qiu-Ping
    [J]. Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence, 2010, 23 (02): : 186 - 190
  • [22] A Fractional Active Contour Model for Medical Image Segmentation
    Chen, Bo
    Huang, Shan
    Liang, Zhengrong
    Chen, Wensheng
    Lin, Hanling
    Pan, Binbin
    Pomeroy, Marc
    [J]. 2017 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2017,
  • [23] A hybrid active contour model for ultrasound image segmentation
    Lingling Fang
    Xiaohang Pan
    Yibo Yao
    Lirong Zhang
    Dongmei Guo
    [J]. Soft Computing, 2020, 24 : 18611 - 18625
  • [24] An active contour model for image segmentation: A variational perspective
    Lee, BR
    Ben Hamza, A
    Krim, H
    [J]. 2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS, 2002, : 1585 - 1588
  • [25] A hybrid active contour model for ultrasound image segmentation
    Fang, Lingling
    Pan, Xiaohang
    Yao, Yibo
    Zhang, Lirong
    Guo, Dongmei
    [J]. SOFT COMPUTING, 2020, 24 (24) : 18611 - 18625
  • [26] A novel active contour model for serial image segmentation
    Zengliang, F.
    Xiaojun, C.
    Ming, Y.
    Chengtao, W.
    [J]. Journal of Medical Engineering and Technology, 2009, 33 (04): : 303 - 308
  • [27] An Adaptive Stopping Active Contour Model for Image Segmentation
    Niu, Yuefeng
    Cao, Jianzhong
    Zhou, Zuofeng
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2019, 14 (01) : 445 - 453
  • [28] Trainable active contour model for histological image segmentation
    Khvostikov A.V.
    Krylov A.S.
    Mikhailov I.A.
    Malkov P.G.
    [J]. Scientific Visualization, 2019, 11 (03): : 80 - 91
  • [29] Texture Image Segmentation Using LTP-based Active Contour Model
    Chen Guan-nan
    Xu Dan-Er
    Hu Heng-yang
    Chen Rong
    Huang Zu-fang
    Teng Zhong-jian
    [J]. PHOTONICS AND OPTOELECTRONICS MEETINGS (POEM) 2011: OPTOELECTRONIC SENSING AND IMAGING, 2012, 8332
  • [30] A novel active contour model for image segmentation using distance regularization term
    Yu, Chun-yan
    Zhang, Wei-shi
    Yu, Ying-ying
    Li, Ying
    [J]. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2013, 65 (11) : 1746 - 1759
12345