CORNER POINTS DETECTION FOR VERTEBRAL MOBILITY ANALYSIS

被引:0
作者
Mahmoudi, Said [1 ]
Benjelloun, Mohammed [1 ]
机构
[1] Fac Engn, Dept Comp Sci, B-7000 Mons, Belgium
来源
ICSPC: 2007 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1-3, PROCEEDINGS | 2007年
关键词
Vertebral Mobility analysis; Regions vertebrae selection; Template Matching; Corner detection;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper we introduce a new segmentation approach used to detect the location and the orientation of the cervical vertebrae in medical x-ray images. A first pre-processing step consists on determining a global polygonal region for each vertebra. After this, we propose a new approach of vertebra localization by extracting the anterior faces of vertebra contours. This approach is based on automatic corner points of interest detection using the Harris operator. A specific goal of the proposed application is to create an efficient semi-automated method of identifying the overall angle of curvature of the spine and the angles between vertebrae.
引用
收藏
页码:1275 / 1278
页数:4
相关论文
共 50 条
  • [41] Corner Detection by Local Zernike Moments
    Ozbulak, Gokhan
    Gokmen, Muhittin
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 1354 - 1357
  • [42] Advanced feature point transformation of corner points for mobile object recognition
    Yin, Xiyuan
    Kim, Dae-Hwan
    Hong, Chung-Pyo
    Kim, Cheong-Ghil
    Kim, Kuinam J.
    Kim, Shin-Dug
    MULTIMEDIA TOOLS AND APPLICATIONS, 2015, 74 (16) : 6541 - 6556
  • [43] Advanced feature point transformation of corner points for mobile object recognition
    Xiyuan Yin
    Dae-Hwan Kim
    Chung-Pyo Hong
    Cheong-Ghil Kim
    Kuinam J. Kim
    Shin-Dug Kim
    Multimedia Tools and Applications, 2015, 74 : 6541 - 6556
  • [44] Vehicle Speed Detection in Video frames using Corner detection
    Kumar, Kiran K., V
    Chandrakant, Pallavi
    Kumar, Santosh
    Kushal, K. J.
    2014 FIFTH INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP 2014), 2014, : 253 - 258
  • [45] A Comparison of Corner and Saliency Detection Methods for Power Line Detection
    Yetgin, Omer Emre
    Gerek, Omer Nezih
    2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP), 2017,
  • [46] An improved Corner Detection Algorithm for Image Sequence
    Yan, Minqi
    Zhang, Bianlian
    Guo, Min
    Tian, Guangyuan
    Liu, Feng
    Huo, Zeng
    INTERNATIONAL SYMPOSIUM ON OPTOELECTRONIC TECHNOLOGY AND APPLICATION 2014: IMAGE PROCESSING AND PATTERN RECOGNITION, 2014, 9301
  • [47] Corner detection based on gradient ghost imaging
    Chen, Yi
    Cheng, Zhengdong
    Cheng, Yubao
    Zhu, Bin
    Liu, Yanyan
    JOURNAL OF OPTICS, 2019, 21 (08)
  • [48] Unified miulti-scale corner detection
    Luo, B
    Pycock, D
    Proceedings of the Fourth IASTED International Conference on Visualization, Imaging, and Image Processing, 2004, : 561 - 565
  • [49] Image corner detection using topology learning
    Sun W.
    Yang X.
    Journal of China Universities of Posts and Telecommunications, 2010, 17 (06): : 101 - 105
  • [50] AN ACCURATE CORNER DETECTION ALGORITHM IN THE INFRARED IMAGE
    Peng, Qinsi
    Nie, Lei
    Chen, Shuanshuan
    Song, Zhan
    Zhang, Xiaoting
    2011 3RD INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT (ICCTD 2011), VOL 2, 2012, : 487 - 491