메뉴 건너뛰기




Volumn 1, Issue , 2008, Pages 923-927

Robust real-time ellipse detection by Direct Least-Square-Fitting

Author keywords

[No Author keywords available]

Indexed keywords

1.8 GHZ; CANNY EDGE DETECTIONS; DIGITAL IMAGES; EDGE PIXELS; EDGE POINTS; ELLIPSE DETECTIONS; FITTING ALGORITHMS; IMAGE SIZES; LEAST SQUARES; NOISE REMOVALS; REAL-TIME ALGORITHMS; ROBUST CRITERION; VISUAL C++;

EID: 61949226345     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSE.2008.789     Document Type: Conference Paper
Times cited : (14)

References (17)
  • 1
    • 0003761433 scopus 로고
    • Method and means for recognizing complex patterns,
    • US Patent, 3069654
    • P. V. C. Hough, Method and means for recognizing complex patterns, US Patent, 3069654, 1962.
    • (1962)
    • Hough, P.V.C.1
  • 2
    • 0018005980 scopus 로고    scopus 로고
    • S. Tsuji, F. Matsumoto, Detection of ellipses by a modi2ed Hough transformation, IEEE Trans. Comput. 27.8 777-781, 1978.
    • S. Tsuji, F. Matsumoto, Detection of ellipses by a modi2ed Hough transformation, IEEE Trans. Comput. 27.8 777-781, 1978.
  • 3
    • 0022864002 scopus 로고    scopus 로고
    • H. Li, M. A. Lavin, R. J. Le Master, Fast Hough transform: a hierachical approach, J. Comput. Vision Graphics Image Process. 36, 139-161. 1986.
    • H. Li, M. A. Lavin, R. J. Le Master, Fast Hough transform: a hierachical approach, J. Comput. Vision Graphics Image Process. Vol. 36, 139-161. 1986.
  • 4
    • 0032028042 scopus 로고    scopus 로고
    • Randomized Hough transform: Improved ellipse detection with comparison
    • R. A. McLaughlin, Randomized Hough transform: improved ellipse detection with comparison, Pattern Recognition Lett. 19(3-4)299-305. 1998
    • (1998) Pattern Recognition Lett , vol.19 , Issue.3-4 , pp. 299-305
    • McLaughlin, R.A.1
  • 5
    • 0030106048 scopus 로고    scopus 로고
    • On using directional information for parameter space decomposition in ellipse detection
    • A. S. Aguado, M. E. Montiel, M. S. Nixon, On using directional information for parameter space decomposition in ellipse detection, Pattern Recognition 28 (3) 369-381. 1996.
    • (1996) Pattern Recognition , vol.28 , Issue.3 , pp. 369-381
    • Aguado, A.S.1    Montiel, M.E.2    Nixon, M.S.3
  • 6
    • 0031248046 scopus 로고    scopus 로고
    • Lower order circle and ellipse Hough transform
    • N. Guil, E. L. Zapata, Lower order circle and ellipse Hough transform, Pattern Recognition 30 (10) 1729-1744. 1997
    • (1997) Pattern Recognition , vol.30 , Issue.10 , pp. 1729-1744
    • Guil, N.1    Zapata, E.L.2
  • 7
    • 0346512609 scopus 로고    scopus 로고
    • Detection ellipses by 2nding lines of symmetry in the images via an hough transform applied to straight lines
    • A. Sewisy, F. Leberl, Detection ellipses by 2nding lines of symmetry in the images via an hough transform applied to straight lines, Image Vision Computing 19 (12) 857-866. 2001
    • (2001) Image Vision Computing , vol.19 , Issue.12 , pp. 857-866
    • Sewisy, A.1    Leberl, F.2
  • 8
    • 0032660758 scopus 로고    scopus 로고
    • A. Fitzgibbon, M. Pilu, and R. Fisher, Direct Least Square Fitting of Ellipses, IEEE Trans. Pattern Analysis and Machine Intelligence, 21.5, 476-480, 1999.
    • A. Fitzgibbon, M. Pilu, and R. Fisher, Direct Least Square Fitting of Ellipses, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol 21.5, 476-480, 1999.
  • 9
    • 0029305644 scopus 로고    scopus 로고
    • Yu Chin Cheng, Samuel C. Lee, A new method for quadratic curve detection using K-RANSAC with acceleration techniques, Pattern Recognition 28.5 663-682. 1995
    • Yu Chin Cheng, Samuel C. Lee, A new method for quadratic curve detection using K-RANSAC with acceleration techniques, Pattern Recognition 28.5 663-682. 1995
  • 10
    • 6444241319 scopus 로고    scopus 로고
    • A new circle/ellipse detector using genetic algorithms
    • Taipei, Taiwan
    • Peng-Yeng Yin, A new circle/ellipse detector using genetic algorithms, Proceedings of the IPPR on CVGIP, Taipei, Taiwan, 362-368., 1998
    • (1998) Proceedings of the IPPR on CVGIP , pp. 362-368
    • Yin, P.-Y.1
  • 13
    • 0026897712 scopus 로고    scopus 로고
    • R. N. Dave, Generalized fuzzy c-shells clustering and detection of circular and elliptical boundaries, Pattern Recognition 25.7 713-721. 1992
    • R. N. Dave, Generalized fuzzy c-shells clustering and detection of circular and elliptical boundaries, Pattern Recognition 25.7 713-721. 1992
  • 14
    • 34249792106 scopus 로고    scopus 로고
    • K. Chung and Y. Huang, Speed up the computation of randomized algorithms for detecting lines, circles, and ellipses using novel tuning- and LUT-based voting platform, Applied Mathematics and Computation, 190.1, 132-149, 2007.
    • K. Chung and Y. Huang, Speed up the computation of randomized algorithms for detecting lines, circles, and ellipses using novel tuning- and LUT-based voting platform, Applied Mathematics and Computation, 190.1, 132-149, 2007.
  • 15
    • 6444220215 scopus 로고    scopus 로고
    • A Robust Real Time Ellipse Detector
    • Si-Cheng Zhang, Zhiqiang Liu, A Robust Real Time Ellipse Detector. Pattern Recognition, 38, 273-287, 2004.
    • (2004) Pattern Recognition , vol.38 , pp. 273-287
    • Zhang, S.-C.1    Liu, Z.2
  • 16
    • 0022808786 scopus 로고    scopus 로고
    • J. Canny, A Computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6), 679-698, 1986.
    • J. Canny, A Computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6), 679-698, 1986.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.