An automatic tracking method for retinal vascular tree extraction

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2012, Pages 709-712

  Yin, Yi ^a   Adel, Mouloud ^a   Bourennane, Salah ^a  

^a Ecole Centrale Marseille   (France)

Author keywords

Bayesian tracking; blood vessel extraction; retinal image

Indexed keywords

AUTOMATIC TRACKING; BAYESIAN METHODS; BAYESIAN TRACKING; BLOOD VESSEL EXTRACTION; EDGE POINT; GAUSSIAN MODEL; GREY LEVELS; INTENSITY PROFILES; PUBLIC DATABASE; RETINAL IMAGE; SEED POINT; STATISTICAL SAMPLING; VASCULAR TREES; VESSEL STRUCTURE;

BAYESIAN NETWORKS; BLOOD VESSELS; IMAGE PROCESSING; OPHTHALMOLOGY; SERVOMECHANISMS;

ITERATIVE METHODS;

EID: 84867617372     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6287982     Document Type: Conference Paper

References (11)

1. S. Chaudhuri, S. Chatterjee, N. Katz, M. Nelson, and M. Goldbaum, "Detection of blood vessels in retinal images using two-dimensional matched filters," IEEE Trans. Med. Imaging, vol. 8, pp. 263-269, 1989.
2. A. Hoover, V. Kouznetsova, and M. Goldbaum, "Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response," IEEE Trans. Med. Imaging, vol. 19, pp. 203-210, 2000.
3. X. Jiang and D. Mojon, "Adaptive local thresholding by verificationbased multithreshold probing with application to vessel detection in retinal images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, pp. 131-137, 2003.
4. A. Can, H. Shen, J. N. Turner, H. L. Tanenbaum, and B. Roysam, "Rapid automated tracing and feature extraction from retinal fundus images using direct exploratory algorithms," IEEE T. Inf. Technol. Biomed., vol. 3, no. 2, pp. 125-138, 1999.
5. D. Koozekanani, K. Boyer, and C. Roberts, "Retinal thickness measurements from optical coherence tomography using a markov boundary model," IEEE Trans. Med. Imaging, vol. 20, pp. 900-916, 2001.
6. M. E. Martínez-Pérez, A. D. Hughes, A. V. Stanton, S. A. Thom, A. A. Bharath, and K. H. Parker, "Retinal blood vessel segmentation by means of scale-space analysis and region growing," In Proceedings of International Conference of MICCAI, pp. 90-97, 1999.
7. V. Mahadevan, H. Narasimha-Iyer, B. Roysam, and H. Tanenbaum, "Robust model-based vasculature detection in noisy biomedical images," IEEE T. Inf. Technol. Biomed., vol. 8, no. 3, pp. 360-376, 2004.
8. C. Heneghan, J. Flynn, M. O'Keefe, and M. Cahill, "Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis," IEEE T. Inf. Technol. Biomed., vol. 6, no. 4, pp. 407-429, 2002.
9. J. Staal, M. Abramoff, M. Niemeijer, M. Viergever, and B. van Ginneken, "Ridge-based vessel segmentation in color images of the retina," IEEE Trans. Med. Imaging, vol. 23, pp. 501-509, 2004.
10. S. Zhou, W. Chen, Z. Zhang, and J. Yang, "Segmentation of coronary angiograms based on probabilistic tracking," International Conference on Automatic Bioinformatics and Biomedical Engineering, vol. 25, no. 9, pp. 1-4, 2009.
11. Y. Yin, M. Adel, M. Guillaume, and S. Bourennane, "A probabilistic based method for tracking vessels in retinal images," IEEE International Conference on Image Processing, pp. 4081-4084, 2010.