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Volumn 25, Issue 12, 2004, Pages 1411-1419

Adaptive Hough transform for the detection of natural shapes under weak affine transformations

Author keywords

Adaptive; Affine transformation; Generalized Hough transform; Local shape variability; Object detection

Indexed keywords

ACOUSTIC NOISE; ALGORITHMS; COMPUTATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; DIFFERENTIAL EQUATIONS; HEURISTIC METHODS; INFORMATION RETRIEVAL; ITERATIVE METHODS; MATHEMATICAL TRANSFORMATIONS; PARAMETER ESTIMATION;

EID: 4544361195     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2004.05.009     Document Type: Article
Times cited : (34)

References (19)
  • 2
    • 0036568188 scopus 로고    scopus 로고
    • Invariant characterisation of the Hough transform for pose estimation of arbitrary shapes
    • Aguado A.S., Montiel E., Nixon M.S. Invariant characterisation of the Hough transform for pose estimation of arbitrary shapes. Pattern Recognition. 35:2002;1083-1097.
    • (2002) Pattern Recognition , vol.35 , pp. 1083-1097
    • Aguado, A.S.1    Montiel, E.2    Nixon, M.S.3
  • 3
    • 0019397313 scopus 로고
    • Generalizing the Hough transform to detect arbitrary shapes
    • Ballard D.H. Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition. 13(2):1981;111-122.
    • (1981) Pattern Recognition , vol.13 , Issue.2 , pp. 111-122
    • Ballard, D.H.1
  • 4
    • 0034287384 scopus 로고    scopus 로고
    • Object localization and border detection criteria design in edge-based image segmentation: Automated learning from examples
    • Brejl M., Sonka M. Object localization and border detection criteria design in edge-based image segmentation: Automated learning from examples. IEEE Transactions on Medical Imaging. 19(10):2000;973-985.
    • (2000) IEEE Transactions on Medical Imaging , vol.19 , Issue.10 , pp. 973-985
    • Brejl, M.1    Sonka, M.2
  • 5
    • 0030411033 scopus 로고    scopus 로고
    • Deformable boundary finding in medical images by integrating gradient and region information
    • Chakraborty A., Staib L.H., Duncan J.S. Deformable boundary finding in medical images by integrating gradient and region information. IEEE Transactions on Medical Imaging. 15(6):1996;859-870.
    • (1996) IEEE Transactions on Medical Imaging , vol.15 , Issue.6 , pp. 859-870
    • Chakraborty, A.1    Staib, L.H.2    Duncan, J.S.3
  • 6
    • 0028463039 scopus 로고
    • The use of active shape models for locating structures in medical images
    • Cootes T., Hill A., Taylor C., Haslam J. The use of active shape models for locating structures in medical images. Image and Vision Computing. 12(6):1994;355-366.
    • (1994) Image and Vision Computing , vol.12 , Issue.6 , pp. 355-366
    • Cootes, T.1    Hill, A.2    Taylor, C.3    Haslam, J.4
  • 7
    • 4544220050 scopus 로고    scopus 로고
    • Variational image segmentation by unifying region and boundary information
    • Ecabert, O., Thiran, J.-P., 2002. Variational image segmentation by unifying region and boundary information. In: ICPR. pp. 885-888.
    • (2002) ICPR , pp. 885-888
    • Ecabert, O.1    Thiran, J.-P.2
  • 8
    • 0004883305 scopus 로고    scopus 로고
    • Randomized generalized Hough transform for 2-Dgrayscale object detection
    • Fung, P.-F., Lee, W.-S., King, I., 1996. Randomized generalized Hough transform for 2-Dgrayscale object detection. In: ICPR. Vol. 3. pp. 511-515.
    • (1996) ICPR , vol.3 , pp. 511-515
    • Fung, P.-F.1    Lee, W.-S.2    King, I.3
  • 9
    • 0032142076 scopus 로고    scopus 로고
    • Physically-based active shape models: Initialization and optimization
    • Garrido A., Pérez De La Blanca N. Physically-based active shape models: Initialization and optimization. Pattern Recognition. 13(8):1998.
    • (1998) Pattern Recognition , vol.13 , Issue.8
    • Garrido, A.1    Pérez De La Blanca, N.2
  • 10
    • 4544243019 scopus 로고
    • Method and means for recognizing complex patterns.US Patent 3069654
    • Hough, P.V.C., 1962. Method and means for recognizing complex patterns.US Patent 3069654.
    • (1962)
    • Hough, P.V.C.1
  • 13
    • 33747618159 scopus 로고    scopus 로고
    • An extension of the generalized Hough transform to realize affine-invariant two-dimensional (2D) shape detection
    • Quebec City, Canada
    • Kimura, A., Watanabe, T., 2002. An extension of the generalized Hough transform to realize affine-invariant two-dimensional (2D) shape detection. In: ICPR. Quebec City, Canada.
    • (2002) ICPR
    • Kimura, A.1    Watanabe, T.2
  • 14
    • 0033682441 scopus 로고    scopus 로고
    • Statistical shape influence in geodesic active contours
    • Leventon, M.E., Grimson, W.E., Faugeras, O., 2000. Statistical shape influence in geodesic active contours. In: Proceedings of CVPR. pp. 316-323.
    • (2000) Proceedings of CVPR , pp. 316-323
    • Leventon, M.E.1    Grimson, W.E.2    Faugeras, O.3
  • 15
    • 0035396106 scopus 로고    scopus 로고
    • Improving the Hough transform gathering process for affine transformations
    • Montiel E., Aguado A.S., Nixon M.S. Improving the Hough transform gathering process for affine transformations. Pattern Recognition Letters. 22:2001;959-969.
    • (2001) Pattern Recognition Letters , vol.22 , pp. 959-969
    • Montiel, E.1    Aguado, A.S.2    Nixon, M.S.3
  • 19
    • 0027387861 scopus 로고
    • Randomized Hough transform RHT: Basic mechanisms, algorithms, and computational complexities
    • Xu L., Oja E. Randomized Hough transform RHT: Basic mechanisms, algorithms, and computational complexities. CVGIP: Image Understanding. 57(2):1993;131-154.
    • (1993) CVGIP: Image Understanding , vol.57 , Issue.2 , pp. 131-154
    • Xu, L.1    Oja, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.