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Volumn 29, Issue 6, 2007, Pages 854-857

Adaptive and high accurate region growing image segmentation method based on region evolution

Author keywords

Energy function; Image segmentation; Region evolution; Region growing

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; EDGE DETECTION; FUNCTIONS; MATHEMATICAL MODELS; MEDICAL IMAGING; OPTIMIZATION; SIGNAL FILTERING AND PREDICTION; THRESHOLD LOGIC;

EID: 34547328051     PISSN: 1001506X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (9)
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    • Chinese source
  • 2
    • 29144494111 scopus 로고    scopus 로고
    • Pixel-parallel digital CMOS implementation of image segmentation by region growing
    • Morimoto T, Harada Y, Koide T, et al. Pixel-parallel digital CMOS implementation of image segmentation by region growing[J]. IEE Proceedings Circuits Devices and Systems, 2005, 9: 579-589.
    • (2005) IEE Proceedings Circuits Devices and Systems , vol.9 , pp. 579-589
    • Morimoto, T.1    Harada, Y.2    Koide, T.3
  • 4
    • 0037235942 scopus 로고    scopus 로고
    • Strategies for image segmentation combining region and boundary information
    • Munoz X, Freixenet J, Cufi X, et al. Strategies for image segmentation combining region and boundary information[J]. Pattern Recognition Letters, 2003, 24(4): 375-392.
    • (2003) Pattern Recognition Letters , vol.24 , Issue.4 , pp. 375-392
    • Munoz, X.1    Freixenet, J.2    Cufi, X.3
  • 5
    • 28644446492 scopus 로고    scopus 로고
    • Connectivity-based local adaptive thresholding for carotid artery segmentation using MRA images
    • Kim D Y, Park J W. Connectivity-based local adaptive thresholding for carotid artery segmentation using MRA images[J]. Image and Vision Computing, 2005, 23(14): 1277-1287.
    • (2005) Image and Vision Computing , vol.23 , Issue.14 , pp. 1277-1287
    • Kim, D.Y.1    Park, J.W.2
  • 6
    • 0036133182 scopus 로고    scopus 로고
    • Automated 3D region growing algorithm based on an assessment function
    • Chantal R M. Francoise P, Yannick C, et al. Automated 3D region growing algorithm based on an assessment function[J]. Pattern Recognition Letters, 2002, 230: 137-150.
    • (2002) Pattern Recognition Letters , vol.230 , pp. 137-150
    • Chantal, R.M.1    Francoise, P.2    Yannick, C.3
  • 7
    • 0041698412 scopus 로고    scopus 로고
    • A test to control a region growing process within a hierarchical graph
    • Lallich S, Muhlenbach F, Jolion J M. A test to control a region growing process within a hierarchical graph[J]. Pattern Recognition, 36(10): 2201-2211.
    • Pattern Recognition , vol.36 , Issue.10 , pp. 2201-2211
    • Lallich, S.1    Muhlenbach, F.2    Jolion, J.M.3
  • 8
    • 0031102487 scopus 로고    scopus 로고
    • New minimum variance region growing algorithm for image segmentation
    • Revol C, Jourlin M. New minimum variance region growing algorithm for image segmentation[J]. Pattern Recognition Letters, 1997, 18(3): 249-258.
    • (1997) Pattern Recognition Letters , vol.18 , Issue.3 , pp. 249-258
    • Revol, C.1    Jourlin, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.