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Volumn 125, Issue 3, 2014, Pages 1234-1239

A local voting and refinement method for circle detection

Author keywords

Circles; Connectivity; Edge elementary components; Hough transform; Local

Indexed keywords

CIRCLES; COMPLEX BACKGROUND; CONNECTIVITY; EDGE ELEMENTARY COMPONENTS; LOCAL; REFINEMENT METHODS; REMOTE SENSING IMAGERY; STANDARD HOUGH TRANSFORMS; CIRCLE DETECTION;

EID: 84889094955     PISSN: 00304026     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijleo.2013.07.151     Document Type: Article
Times cited : (14)

References (15)
  • 1
    • 0015285440 scopus 로고
    • Use of the Hough transformation to detect lines and curves in pictures
    • R.O. Duda, and P.E. Hart Use of the Hough transformation to detect lines and curves in pictures CACM 15 1972 11 15
    • (1972) CACM , vol.15 , pp. 11-15
    • Duda, R.O.1    Hart, P.E.2
  • 3
    • 1542316662 scopus 로고    scopus 로고
    • Connectivity-based multiple-circle fitting
    • Y. Qiao, and S.H. Ong Connectivity-based multiple-circle fitting Pattern Recognit. 37 2004 755 765
    • (2004) Pattern Recognit. , vol.37 , pp. 755-765
    • Qiao, Y.1    Ong, S.H.2
  • 4
    • 84865729497 scopus 로고    scopus 로고
    • Efficient randomized Hough transform for circle detection using novel probability sampling and feature points
    • L. Jiang Efficient randomized Hough transform for circle detection using novel probability sampling and feature points Optik 123 2012 1834 1840
    • (2012) Optik , vol.123 , pp. 1834-1840
    • Jiang, L.1
  • 5
    • 84866512268 scopus 로고    scopus 로고
    • Efficient symmetry-based screening strategy to speed up randomized circle-detection
    • Y. Huang, K. Chung, W. Yang, and S. Chiu Efficient symmetry-based screening strategy to speed up randomized circle-detection Pattern Recognit. Lett. 33 2012 2071 2076
    • (2012) Pattern Recognit. Lett. , vol.33 , pp. 2071-2076
    • Huang, Y.1    Chung, K.2    Yang, W.3    Chiu, S.4
  • 6
  • 7
  • 8
    • 10044252975 scopus 로고    scopus 로고
    • An effective voting method for circle detection
    • S.H. Chiu, and J.J. Liaw An effective voting method for circle detection Pattern Recognit. Lett. 26 2005 121 133
    • (2005) Pattern Recognit. Lett. , vol.26 , pp. 121-133
    • Chiu, S.H.1    Liaw, J.J.2
  • 9
    • 0032715412 scopus 로고    scopus 로고
    • Circle recognition through a 2D Hough transform and radius histogramming
    • D. Ioannou, W. Huda, and A.F. Laine Circle recognition through a 2D Hough transform and radius histogramming Image Vis. Comput. 17 1999 15 26
    • (1999) Image Vis. Comput. , vol.17 , pp. 15-26
    • Ioannou, D.1    Huda, W.2    Laine, A.F.3
  • 10
    • 33747992562 scopus 로고
    • A new curve detection method: Randomized Hough transform (RHT)
    • L. Xu, E. Oja, and P. Kultanen A new curve detection method: randomized Hough transform (RHT) Pattern Recognit. Lett. 11 1990 331 338
    • (1990) Pattern Recognit. Lett. , vol.11 , pp. 331-338
    • Xu, L.1    Oja, E.2    Kultanen, P.3
  • 12
    • 0029309681 scopus 로고
    • Probabilistic and non-probabilistic Hough transforms: Overview and comparisons
    • H. Kälviäinen, P. Hirvonen, L. Xu, and E. Oja Probabilistic and non-probabilistic Hough transforms: overview and comparisons Image Vis. Comput. 13 1995 239 252
    • (1995) Image Vis. Comput. , vol.13 , pp. 239-252
    • Kälviäinen, H.1    Hirvonen, P.2    Xu, L.3    Oja, E.4
  • 13
    • 0343826098 scopus 로고    scopus 로고
    • Randomized or probabilistic Hough transform: Unified performance evaluation
    • N. Kiryati, H. Kälviäinen, and S. Alaoutinen Randomized or probabilistic Hough transform: unified performance evaluation Pattern Recognit. Lett. 21 2000 1157 1164
    • (2000) Pattern Recognit. Lett. , vol.21 , pp. 1157-1164
    • Kiryati, N.1    Kälviäinen, H.2    Alaoutinen, S.3
  • 14
  • 15
    • 0016471788 scopus 로고
    • Finding circles by an array of accumulators
    • C. Kimme, D. Ballard, and J. Sklansky Finding circles by an array of accumulators CACM 18 1975 120 122
    • (1975) CACM , vol.18 , pp. 120-122
    • Kimme, C.1    Ballard, D.2    Sklansky, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.