Improving image segmentation by gradient vector flow and mean shift

被引：19
|
作者：
Liu, Tangwei
Zhou, Huiyu [1 ]
Lin, Faquan
Pang, Yusheng
Wu, Ji
机构：
[1] Queen Mary Univ London, London E1 4NS, England
[2] Guangxi Med Univ, Nanning 530027, Peoples R China
来源：
PATTERN RECOGNITION LETTERS | 2008年 / 29卷 / 01期
关键词：
segmentation; gradient vector flow; mean shift; snake;
D O I：
10.1016/j.patrec.2007.08.015
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The classical gradient vector flow (GVF) method suffers from deficiency in the presence of other significant edges adjacent to the real boundary. In this paper, we propose an improved energy function to challenge this problem by consistently reducing the Euclidean distance between the inspected centroid of the real boundary and the estimated one of the snake. Experimental work shows the proposed framework outperforms the classical GVF algorithm in different circumstances. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码：90 / 95
页数：6
相关论文
共 50 条
  • [1] Mean shift based gradient vector flow for image segmentation
    Zhou, Huiyu
    Li, Xuelong
    Schaefer, Gerald
    Celebi, M. Emre
    Miller, Paul
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2013, 117 (09) : 1004 - 1016
  • [2] A combined gradient vector flow and mean shift approach to image segmentation
    Zhou, Huiyu
    Schaefer, Gerald
    Liu, Tangwei
    Lin, Faquan
    PROCEEDINGS ELMAR-2009, 2009, : 61 - 64
  • [3] Gradient vector flow with mean shift for skin lesion segmentation
    Zhou, Huiyu
    Schaefer, Gerald
    Celebi, M. Emre
    Lin, Faquan
    Liu, Tangwei
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2011, 35 (02) : 121 - 127
  • [4] Sigmoid Gradient Vector Flow for Medical Image Segmentation
    Yao Yuhua
    Liu Lixiong
    Liao Lejian
    Wei Ming
    Guo Jianping
    Li Yinghui
    PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3, 2012, : 881 - +
  • [5] Image Segmentation based on Improved Gradient Vector Flow
    Zhang, Hong
    Feng, Lingzhi
    Mu, Ying
    You, Yuhu
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, 2008, : 765 - +
  • [6] Medical image segmentation with improved gradient vector flow
    Cheng, Jinyong
    Sun, Xiaoyun
    Research Journal of Applied Sciences, Engineering and Technology, 2012, 4 (20) : 3951 - 3957
  • [7] Infrared image segmentation based on gradient vector flow model
    Wu Qiongfei
    Zhu Yong
    Zhang Zhiqiang
    PROCEEDINGS 2015 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND ENGINEERING APPLICATIONS ISDEA 2015, 2015, : 460 - 462
  • [8] Gradient vector flow driven active shape for image segmentation
    Yuan, Xiaohui
    Giritharan, Balathasan
    Oh, JungHwan
    2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5, 2007, : 2058 - 2061
  • [9] Image segmentation with hierarchical mean shift
    Tang, Yang
    Pan, Zhigeng
    Tang, Min
    Heng, Pheng Ann
    Xia, Deshen
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2009, 46 (09): : 1424 - 1431
  • [10] BAYESIAN IMAGE SEGMENTATION WITH MEAN SHIFT
    Zhou, Huiyu
    Schaefer, Gerald
    Celebi, M. Emre
    Fei, Minrui
    2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 2405 - +
12345