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Volumn , Issue , 2013, Pages 375-379

Improved efficient Ellipse Hough transform for fetal head measurement

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; GEOMETRY; INFORMATION SYSTEMS;

EID: 84898826924     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACSIS.2013.6761604     Document Type: Conference Paper
Times cited : (6)

References (7)
  • 3
    • 36749022173 scopus 로고    scopus 로고
    • Detection of incomplete ellipse in images with strong noise by iterative randomized Hough transform (IRHT)
    • L. Wei and J. Tan, "Detection of incomplete ellipse in images with strong noise by iterative randomized Hough transform (IRHT)," Pattern Recognition, vol. 41, pp. 1268-1279, 2008.
    • (2008) Pattern Recognition , vol.41 , pp. 1268-1279
    • Wei, L.1    Tan, J.2
  • 4
    • 33751573672 scopus 로고    scopus 로고
    • A new efficient ellipse detection method
    • Y. Xie and Q. Ji, "A new efficient ellipse detection method," in Pattern Recognition, 2002.
    • (2002) Pattern Recognition
    • Xie, Y.1    Ji, Q.2
  • 6
    • 84875122137 scopus 로고    scopus 로고
    • Efficient incomplete ellipse detection based on minor axis for ultrasound fetal head approximation
    • Jakarta
    • I. P. Satwika, M. I. Tawakal, Z. Imaduddin and W. Jatmiko, "Efficient Incomplete Ellipse Detection based on Minor Axis for Ultrasound Fetal Head Approximation," in ICACSIS, Jakarta, 2012.
    • (2012) ICACSIS
    • Satwika, I.P.1    Tawakal, M.I.2    Imaduddin, Z.3    Jatmiko, W.4
  • 7
    • 20444464297 scopus 로고    scopus 로고
    • Automated fetal head detection and measurement in ultrasound images by iterative randomized hough transform
    • W. Lu, J. Tan and F. Floyd, "Automated Fetal Head Detection and Measurement in Ultrasound Images by Iterative Randomized Hough Transform," Ultrasound in Med & Bio, vol. 31, no. 7, pp. 929-936, 2005.
    • (2005) Ultrasound in Med & Bio , vol.31 , Issue.7 , pp. 929-936
    • Lu, W.1    Tan, J.2    Floyd, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.