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Volumn 26, Issue 2, 2013, Pages 274-286

Application of morphological bit planes in retinal blood vessel extraction

Author keywords

Biomedical image analysis; Bit planes; Image segmentation; Medical imaging; Morphological processing; Retinal images; Retinal vessel segmentation

Indexed keywords

DIAGNOSIS; IMAGE SEGMENTATION; ITERATIVE METHODS; MATHEMATICAL MORPHOLOGY; MATHEMATICAL OPERATORS; MEDICAL IMAGING; MUSCULOSKELETAL SYSTEM; OPHTHALMOLOGY; TREES (MATHEMATICS);

EID: 84880957778     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-012-9513-3     Document Type: Article
Times cited : (91)

References (47)
  • 2
    • 0028706756 scopus 로고
    • The detection and quantification of retinopathy using digital angiograms
    • Liang Z, et al: The detection and quantification of retinopathy using digital angiograms. Medical Imaging, IEEE Transactions on 13:619-626, 1994
    • (1994) Medical Imaging, IEEE Transactions on , vol.13 , pp. 619-626
    • Liang, Z.1
  • 3
    • 0036119532 scopus 로고    scopus 로고
    • Progress towards automated diabetic ocular screening: A review of image analysis and intelligent systems for diabetic retinopathy
    • Teng T, et al: Progress towards automated diabetic ocular screening: a review of image analysis and intelligent systems for diabetic retinopathy. Medical and Biological Engineering and Computing 40:2-13, 2002
    • (2002) Medical and Biological Engineering and Computing , vol.40 , pp. 2-13
    • Teng, T.1
  • 4
    • 0036890682 scopus 로고    scopus 로고
    • Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis
    • 12
    • Heneghan C, et al: Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis. Medical Image Analysis 6:407-429, 2002. 12
    • (2002) Medical Image Analysis , vol.6 , pp. 407-429
    • Heneghan, C.1
  • 5
    • 71649115026 scopus 로고    scopus 로고
    • Detection of the foveal avascular zone on retinal angiograms using Markov random fields
    • 1
    • Haddouche A, et al: Detection of the foveal avascular zone on retinal angiograms using Markov random fields. Digital Signal Processing 20:149-154, 2010. 1
    • (2010) Digital Signal Processing , vol.20 , pp. 149-154
    • Haddouche, A.1
  • 7
    • 6344235120 scopus 로고    scopus 로고
    • Measurement of retinal vessel widths from fundus images based on 2-D modeling
    • Lowell J, et al: Measurement of retinal vessel widths from fundus images based on 2-D modeling. Medical Imaging IEEE Transactions on 23:1196-1204, 2004
    • (2004) Medical Imaging IEEE Transactions on , vol.23 , pp. 1196-1204
    • Lowell, J.1
  • 8
    • 1942454910 scopus 로고    scopus 로고
    • Ridge-based vessel segmentation in color images of the retina
    • Staal J, et al: Ridge-based vessel segmentation in color images of the retina. Medical Imaging IEEE Transactions on 23:501-509, 2004
    • (2004) Medical Imaging IEEE Transactions on , vol.23 , pp. 501-509
    • Staal, J.1
  • 9
    • 33748118111 scopus 로고    scopus 로고
    • Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction
    • Mendonca AM, Campilho A: Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction. Medical Imaging IEEE Transactions on 25:1200-1213, 2006
    • (2006) Medical Imaging IEEE Transactions on , vol.25 , pp. 1200-1213
    • Mendonca, A.M.1    Campilho, A.2
  • 10
    • 33845584832 scopus 로고    scopus 로고
    • Retinal vessel centerline extraction using multiscale matched filters, confidence and edge measures
    • Sofka M, Stewart CV: Retinal vessel centerline extraction using multiscale matched filters, confidence and edge measures. Medical Imaging, IEEE Transactions on 25:1531-1546, 2006
    • (2006) Medical Imaging, IEEE Transactions on , vol.25 , pp. 1531-1546
    • Sofka, M.1    Stewart, C.V.2
  • 11
    • 41649102639 scopus 로고    scopus 로고
    • A novel vessel segmentation algorithm for pathological retina images based on the divergence of vector fields
    • Lam BSY, Hong Y: A novel vessel segmentation algorithm for pathological retina images based on the divergence of vector fields. Medical Imaging, IEEE Transactions on 27:237-246, 2008
    • (2008) Medical Imaging, IEEE Transactions on , vol.27 , pp. 237-246
    • Bsy, L.1    Hong, Y.2
  • 12
    • 84865777319 scopus 로고    scopus 로고
    • Blood vessel segmentation methodologies in retinal imagesa survey
    • doi:10. 1016/j. cmpb. 2012. 03. 009
    • M. M. Fraz, et al. Blood vessel segmentation methodologies in retinal imagesa survey. Comput Methods Programs Biomed, 2012. doi:10. 1016/j. cmpb. 2012. 03. 009
    • (2012) Comput Methods Programs Biomed
    • Fraz, M.M.1
  • 13
    • 78650885895 scopus 로고    scopus 로고
    • A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features
    • Marin D, et al: A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features. Medical Imaging, IEEE Transactions on 30:146-158, 2011
    • (2011) Medical Imaging, IEEE Transactions on , vol.30 , pp. 146-158
    • Marin, D.1
  • 14
    • 0032803696 scopus 로고    scopus 로고
    • Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images
    • Sinthanayothin C, et al: Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images. British Journal of Ophthalmology 83:902-910, 1999
    • (1999) British Journal of Ophthalmology , vol.83 , pp. 902-910
    • Sinthanayothin, C.1
  • 15
    • 34948844097 scopus 로고    scopus 로고
    • Retinal blood vessel segmentation using line operators and support vector classification
    • Ricci E, Perfetti R: Retinal blood vessel segmentation using line operators and support vector classification. Medical Imaging, IEEE Transactions on 26:1357-1365, 2007
    • (2007) Medical Imaging, IEEE Transactions on , vol.26 , pp. 1357-1365
    • Ricci, E.1    Perfetti, R.2
  • 16
    • 33748099339 scopus 로고    scopus 로고
    • Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification
    • Soares JVB, et al: Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification. Medical Imaging, IEEE Transactions on 25:1214-1222, 2006
    • (2006) Medical Imaging, IEEE Transactions on , vol.25 , pp. 1214-1222
    • Jvb, S.1
  • 17
    • 84865463567 scopus 로고    scopus 로고
    • An ensemble classification based approach applied to retinal blood vessel segmentation
    • doi:10. 1109/TBME. 2012. 2205687
    • M. M. Fraz et al. An ensemble classification based approach applied to retinal blood vessel segmentation. Biomedical Engineering, IEEE Transactions on 59, 2012. doi:10. 1109/TBME. 2012. 2205687
    • (2012) Biomedical Engineering, IEEE Transactions on 59
    • Fraz, M.M.1
  • 19
    • 79958792462 scopus 로고    scopus 로고
    • Segmentation of retinal blood vessels using the radial projection and semi-supervised approach
    • You X, et al: Segmentation of retinal blood vessels using the radial projection and semi-supervised approach. Pattern Recognition 44:2314-2324, 2011
    • (2011) Pattern Recognition , vol.44 , pp. 2314-2324
    • You, X.1
  • 20
    • 0032034235 scopus 로고    scopus 로고
    • A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering
    • Tolias YA, Panas SM: A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering. Medical Imaging, IEEE Transactions on 17:263-273, 1998
    • (1998) Medical Imaging, IEEE Transactions on 17 , pp. 263-273
    • Tolias, Y.A.1    Panas, S.M.2
  • 21
    • 77957551841 scopus 로고    scopus 로고
    • Unsupervised fuzzy based vessel segmentation in pathological digital fundus images
    • Kande GB, et al: Unsupervised fuzzy based vessel segmentation in pathological digital fundus images. Journal of Medical Systems 34:849-858, 2009
    • (2009) Journal of Medical Systems , vol.34 , pp. 849-858
    • Kande, G.B.1
  • 22
    • 33847641544 scopus 로고    scopus 로고
    • Segmentation of retinal blood vessels using a novel clustering algorithm (RACAL) with a partial supervision strategy
    • Salem S, et al: Segmentation of retinal blood vessels using a novel clustering algorithm (RACAL) with a partial supervision strategy. Medical and Biological Engineering and Computing 45:261-273, 2007
    • (2007) Medical and Biological Engineering and Computing , vol.45 , pp. 261-273
    • Salem, S.1
  • 23
    • 70449526394 scopus 로고    scopus 로고
    • Maximum likelihood estimation of vessel parameters from scale space analysis
    • Ng J, et al: Maximum likelihood estimation of vessel parameters from scale space analysis. Image and Vision Computing 28:55-63, 2010
    • (2010) Image and Vision Computing , vol.28 , pp. 55-63
    • Ng, J.1
  • 24
    • 84864987495 scopus 로고    scopus 로고
    • A fast, efficient and automated method to extract vessels from fundus images
    • Villalobos-Castaldi F, et al: A fast, efficient and automated method to extract vessels from fundus images. Journal of Visualization 13:263-270, 2010
    • (2010) Journal of Visualization , vol.13 , pp. 263-270
    • Villalobos-Castaldi, F.1
  • 25
    • 0024734454 scopus 로고
    • Detection of blood vessels in retinal images using two-dimensional matched filters
    • Chaudhuri S, et al: Detection of blood vessels in retinal images using two-dimensional matched filters. Medical Imaging, IEEE Transactions 8:263-269, 1989
    • (1989) Medical Imaging, IEEE Transactions , vol.8 , pp. 263-269
    • Chaudhuri, S.1
  • 26
    • 0033623974 scopus 로고    scopus 로고
    • Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response
    • Hoover AD, et al: Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. Medical Imaging, IEEE Transactions on 19:203-210, 2000
    • (2000) Medical Imaging, IEEE Transactions on , vol.19 , pp. 203-210
    • Hoover, A.D.1
  • 27
    • 0037252215 scopus 로고    scopus 로고
    • Adaptive local thresholding by verificationbased multithreshold probing with application to vessel detection in retinal images
    • Xiaoyi J, Mojon D: Adaptive local thresholding by verificationbased multithreshold probing with application to vessel detection in retinal images. Pattern Analysis and Machine Intelligence, IEEE Transactions 25:131-137, 2003
    • (2003) Pattern Analysis and Machine Intelligence, IEEE Transactions , vol.25 , pp. 131-137
    • Xiaoyi, J.1    Mojon, D.2
  • 28
    • 0036156161 scopus 로고    scopus 로고
    • Detection andmeasurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter
    • Gang L, et al: Detection andmeasurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter. Biomedical Engineering, IEEE Transactions on 49:168-172, 2002
    • (2002) Biomedical Engineering, IEEE Transactions on 49 , pp. 168-172
    • Gang, L.1
  • 29
    • 77950864744 scopus 로고    scopus 로고
    • Retinal vessel extraction by matched filter with first-order derivative of Gaussian
    • Zhang B, et al: Retinal vessel extraction by matched filter with first-order derivative of Gaussian. Computers in biology and medicine 40:438-445, 2010
    • (2010) Computers in Biology and Medicine , vol.40 , pp. 438-445
    • Zhang, B.1
  • 30
    • 69249212466 scopus 로고    scopus 로고
    • Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm
    • Cinsdikici MG, Aydin D: Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm. Computer methods and programs in biomedicine 96:85-95, 2009
    • (2009) Computer Methods and Programs in Biomedicine , vol.96 , pp. 85-95
    • Cinsdikici, M.G.1    Aydin, D.2
  • 32
    • 0035397820 scopus 로고    scopus 로고
    • Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation
    • Zana F, Klein JC: Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation. Image Processing, IEEE Transactions on 10:1010-1019, 2001
    • (2001) Image Processing, IEEE Transactions on 10 , pp. 1010-1019
    • Zana, F.1    Klein, J.C.2
  • 33
    • 84867404263 scopus 로고    scopus 로고
    • An approach to localize the retinal blood vessels using bit planes and centerline detection
    • doi:10. 1016/j. cmpb. 2011. 08. 009
    • M. M. Fraz, et al. An approach to localize the retinal blood vessels using bit planes and centerline detection. Comput Methods Programs Biomed, 2011. doi:10. 1016/j. cmpb. 2011. 08. 009
    • (2011) Comput Methods Programs Biomed
    • Fraz, M.M.1
  • 34
    • 80053381010 scopus 로고    scopus 로고
    • Retinal vessel extraction using first-order derivative of Gaussian and morphological processing
    • Bebis G, Boyle R, Parvin B, et al. Eds. Springer Berlin: Heidelberg
    • M. M. Fraz, et al. Retinal vessel extraction using first-order derivative of Gaussian and morphological processing. In: Bebis G, Boyle R, Parvin B, et al. Eds. Advances in visual computing. Springer Berlin: Heidelberg, 2011, vol 6938, pp 410-420
    • (2011) Advances in Visual Computing , vol.6938 , pp. 410-420
    • Fraz, M.M.1
  • 35
    • 84856224752 scopus 로고    scopus 로고
    • Morphological multiscale enhancement, fuzzy filter and watershed for vascular tree extraction in angiogram
    • K. Sun, et al. Morphological multiscale enhancement, fuzzy filter and watershed for vascular tree extraction in angiogram. J Med Syst 35:811-824, 2010.
    • (2010) J Med Syst , vol.35 , pp. 811-824
    • Sun, K.1
  • 36
    • 80755143151 scopus 로고    scopus 로고
    • Retinal vasculature segmentation by morphological curvature, reconstruction and adapted hysteresis thresholding
    • Islamabad, Pakistan
    • M. M. Fraz, et al. Retinal vasculature segmentation by morphological curvature, reconstruction and adapted hysteresis thresholding. In: Emerging Technologies (ICET), 2011 7th International Conference on, Islamabad, Pakistan, 2011, pp 1-6.
    • (2011) Emerging Technologies (ICET), 2011 7th International Conference on , pp. 1-6
    • Fraz, M.M.1
  • 38
    • 33847637156 scopus 로고    scopus 로고
    • Analysis of retinal vasculature using a multiresolution Hermite model
    • Li W, et al: Analysis of retinal vasculature using a multiresolution Hermite model. Medical Imaging, IEEE Transactions on 26:137-152, 2007
    • (2007) Medical Imaging, IEEE Transactions on , vol.26 , pp. 137-152
    • Li, W.1
  • 39
    • 77951644589 scopus 로고    scopus 로고
    • An active contour model for segmenting and measuring retinal vessels
    • Al-Diri B, et al: An active contour model for segmenting and measuring retinal vessels. Medical Imaging, IEEE Transactions on 28:1488-1497, 2009
    • (2009) Medical Imaging, IEEE Transactions on , vol.28 , pp. 1488-1497
    • Al-Diri, B.1
  • 42
    • 33748095159 scopus 로고    scopus 로고
    • Automated microaneurysm detection using local contrast normalization and local vessel detection
    • Fleming AD, et al: Automated microaneurysm detection using local contrast normalization and local vessel detection. Medical Imaging, IEEE Transactions on 25:1223-1232, 2006
    • (2006) Medical Imaging, IEEE Transactions on , vol.25 , pp. 1223-1232
    • Fleming, A.D.1
  • 43
    • 1942454910 scopus 로고    scopus 로고
    • Ridge based vessel segmentation in color images of the retina
    • Staal JJ, et al: Ridge based vessel segmentation in color images of the retina. IEEE Transactions on Medical Imaging 23:501-509, 2004
    • (2004) IEEE Transactions on Medical Imaging , vol.23 , pp. 501-509
    • Staal, J.J.1
  • 45
    • 5644287725 scopus 로고    scopus 로고
    • Comparative study of retinal vessel segmentation methods on a new publicly available database
    • M. Niemeijer, et al. Comparative study of retinal vessel segmentation methods on a new publicly available database. In: SPIE Medical Imaging, 2004, pp 648-656.
    • (2004) SPIE Medical Imaging , pp. 648-656
    • Niemeijer, M.1
  • 47
    • 77954227870 scopus 로고    scopus 로고
    • General retinal vessel segmentation using regularization-based multiconcavity modeling
    • Lam BSY, et al: General retinal vessel segmentation using regularization-based multiconcavity modeling. Medical Imaging, IEEE Transactions on 29:1369-1381, 2010
    • (2010) Medical Imaging, IEEE Transactions on , vol.29 , pp. 1369-1381
    • Bsy, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.