메뉴 건너뛰기




Volumn 92, Issue 1, 2003, Pages 1-25

Accurate and robust line segment extraction by analyzing distribution around peaks in Hough space

Author keywords

Accurate peak detection; Hough transform; Line segment extraction; Robust butterfly detection

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; HOUGH TRANSFORMS; IMAGE ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS);

EID: 0242366165     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cviu.2003.07.002     Document Type: Article
Times cited : (98)

References (32)
  • 3
    • 33747992562 scopus 로고
    • A new curve detection method: Randomized Hough transform (rht)
    • L. Xu, E. Oja, P. Kultanen, A new curve detection method: randomized Hough transform (rht), Pattern Recognition Letters 11 (5) (1990) 331-338.
    • (1990) Pattern Recognition Letters , vol.11 , Issue.5 , pp. 331-338
    • Xu, L.1    Oja, E.2    Kultanen, P.3
  • 5
    • 0028495235 scopus 로고
    • Using focus of attention with the Hough transform for accurate line parameter estimation
    • P.L. Palmer, J. Kittler, M. Petrou, Using focus of attention with the Hough transform for accurate line parameter estimation, Pattern Recognition 27 (9) (1994) 1127-1134.
    • (1994) Pattern Recognition , vol.27 , Issue.9 , pp. 1127-1134
    • Palmer, P.L.1    Kittler, J.2    Petrou, M.3
  • 6
    • 0033878658 scopus 로고    scopus 로고
    • Heteroscedastic Hough transform (htht): An efficient method for robust line fitting in the 'errors in the variables' problem
    • doi:10.1006/cviu.1999.0828
    • N. Kiryati, A.M. Bruckstein, Heteroscedastic Hough transform (htht): an efficient method for robust line fitting in the 'errors in the variables' problem, Computer Vision and Image Understanding 78 (1) (2000) 69-83, doi:10.1006/cviu.1999.0828.
    • (2000) Computer Vision and Image Understanding , vol.78 , Issue.1 , pp. 69-83
    • Kiryati, N.1    Bruckstein, A.M.2
  • 7
    • 0033872633 scopus 로고    scopus 로고
    • Robust detection of lines using the progressive probabilistic Hough transform
    • doi:10.1006/cviu.1999.0831
    • J. Matas, C. Galambos, J. Kittler, Robust detection of lines using the progressive probabilistic Hough transform, Computer Vision and Image Understanding 78 (1) (2000) 119-137, doi:10.1006/cviu.1999.0831.
    • (2000) Computer Vision and Image Understanding , vol.78 , Issue.1 , pp. 119-137
    • Matas, J.1    Galambos, C.2    Kittler, J.3
  • 11
    • 43949164163 scopus 로고
    • Survey which Hough transform
    • doi:10.1006/ciun.1993.1041
    • V.F. Leavers, Survey which Hough transform, Computer Vision, Graphics, and Image Processing 58 (2) (1993) 250-264, doi:10.1006/ciun.1993.1041.
    • (1993) Computer Vision, Graphics, and Image Processing , vol.58 , Issue.2 , pp. 250-264
    • Leavers, V.F.1
  • 16
    • 0026941361 scopus 로고
    • A connectionist approach for peak detection in Hough space
    • V.V. Vinod, S. Chaudhury, S. Ghose, J. Mukherjee, A connectionist approach for peak detection in Hough space, Pattern Recognition 25 (10) (1992) 1253-1264.
    • (1992) Pattern Recognition , vol.25 , Issue.10 , pp. 1253-1264
    • Vinod, V.V.1    Chaudhury, S.2    Ghose, S.3    Mukherjee, J.4
  • 20
    • 0027838805 scopus 로고
    • A Hough transform algorithm with a 2d hypothesis testing kernel
    • doi:10.1006/ciun.1993.1039
    • P.L. Palmer, M. Petrou, J. Kittler, A Hough transform algorithm with a 2d hypothesis testing kernel, Computer Vision, Graphics, and Image Processing 58 (2) (1993) 221-234, doi:10.1006/ciun.1993.1039.
    • (1993) Computer Vision, Graphics, and Image Processing , vol.58 , Issue.2 , pp. 221-234
    • Palmer, P.L.1    Petrou, M.2    Kittler, J.3
  • 21
    • 0031189468 scopus 로고    scopus 로고
    • An optimizing line finder using a Hough transform algorithm
    • doi:10.1006/cviu.1996.0491
    • P.L. Palmer, J. Kitter, M. Petrou, An optimizing line finder using a Hough transform algorithm, Computer Vision and Image Understanding 67 (1) (1997) 1-23, doi:10.1006/cviu.1996.0491.
    • (1997) Computer Vision and Image Understanding , vol.67 , Issue.1 , pp. 1-23
    • Palmer, P.L.1    Kitter, J.2    Petrou, M.3
  • 22
    • 0022716994 scopus 로고
    • The radon transform and its application to shape parameterization in machine vision
    • V.F. Leavers, J.F. Boyce, The radon transform and its application to shape parameterization in machine vision, Image and Vision Computing 5 (2) (1987) 161-166.
    • (1987) Image and Vision Computing , vol.5 , Issue.2 , pp. 161-166
    • Leavers, V.F.1    Boyce, J.F.2
  • 23
    • 0031998357 scopus 로고    scopus 로고
    • Guaranteed convergence of the Hough transform
    • doi:10.1006/eviu.1997.0557
    • M. Soffer, N. Kiryati, Guaranteed convergence of the Hough transform, Computer Vision and Image Understanding 69 (2) (1998) 119-134, doi:10.1006/eviu.1997.0557.
    • (1998) Computer Vision and Image Understanding , vol.69 , Issue.2 , pp. 119-134
    • Soffer, M.1    Kiryati, N.2
  • 25
    • 0024165223 scopus 로고
    • Performance of the Hough transform and its relationship to statistical signal detection theory
    • D. J. Hunt, L.W. Nolte, W.H. Ruedger, Performance of the Hough transform and its relationship to statistical signal detection theory, Computer Vision, Graphics, and Image Processing 43 (1988) 221-238.
    • (1988) Computer Vision, Graphics, and Image Processing , vol.43 , pp. 221-238
    • Hunt, D.J.1    Nolte, L.W.2    Ruedger, W.H.3
  • 27
    • 0019107024 scopus 로고
    • Discretization errors in the Hough transform
    • T.M.V. Veen, F.C.A. Groen, Discretization errors in the Hough transform, Pattern Recognition 14 (1981) 137-145.
    • (1981) Pattern Recognition , vol.14 , pp. 137-145
    • Veen, T.M.V.1    Groen, F.C.A.2
  • 28
    • 0017518714 scopus 로고
    • On the detection of structures in noisy pictures
    • M. Cohen, G.T. Toussaint, On the detection of structures in noisy pictures, Pattern Recognition 9 (1977) 95-98.
    • (1977) Pattern Recognition , vol.9 , pp. 95-98
    • Cohen, M.1    Toussaint, G.T.2
  • 31
    • 0030146983 scopus 로고    scopus 로고
    • Deriving stopping rules for the probabilistic Hough transform by sequential analysis
    • doi:10.1006/cviu.1996.0038
    • D. Shaked, O. Yaron, N. Kiryati, Deriving stopping rules for the probabilistic Hough transform by sequential analysis, Computer Vision and Image Understanding 63 (3) (1996) 512-526, doi:10.1006/cviu.1996.0038.
    • (1996) Computer Vision and Image Understanding , vol.63 , Issue.3 , pp. 512-526
    • Shaked, D.1    Yaron, O.2    Kiryati, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.