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Volumn 10, Issue 1, 2011, Pages 70-75

A fast underwater optical image segmentation algorithm based on a histogram weighted fuzzy C-means improved by PSO

Author keywords

autonomous underwater vehicle (AUV); fuzzy C means; gray scale histogram; image segmentation; particle swarm optimization (PSO); real time effectiveness; sine function; underwater image

Indexed keywords


EID: 79953270764     PISSN: 16719433     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11804-011-1043-8     Document Type: Article
Times cited : (19)

References (18)
  • 1
  • 2
    • 0035501965 scopus 로고    scopus 로고
    • Fuzzy sets in approximate reasoning and information systems
    • Bezdek JC, Dubois D, Prade H (2001). Fuzzy sets in approximate reasoning and information systems. Fuzzy Sets and Systems, 123(3), 405-406.
    • (2001) Fuzzy Sets and Systems , vol.123 , Issue.3 , pp. 405-406
    • Bezdek, J.C.1    Dubois, D.2    Prade, H.3
  • 3
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • Dunn JC (1973). A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. Journal of Cybernetics, 3(3), 32-57.
    • (1973) Journal of Cybernetics , vol.3 , Issue.3 , pp. 32-57
    • Dunn, J.C.1
  • 9
    • 29144474640 scopus 로고    scopus 로고
    • Fuzzy bagging: a novel ensemble of classifiers
    • Luminia N (2006). Fuzzy bagging: a novel ensemble of classifiers. Pattern Recognition, 39(3), 488-490.
    • (2006) Pattern Recognition , vol.39 , Issue.3 , pp. 488-490
    • Luminia, N.1
  • 11
    • 0033181293 scopus 로고    scopus 로고
    • Adaptive fuzzy segmentation of magnetic resonance images
    • Pham DL, Prince JL (1999). Adaptive fuzzy segmentation of magnetic resonance images. IEEE Trans on Medical Imaging, 18(9), 737-752.
    • (1999) IEEE Trans on Medical Imaging , vol.18 , Issue.9 , pp. 737-752
    • Pham, D.L.1    Prince, J.L.2
  • 13
    • 1842422015 scopus 로고    scopus 로고
    • Survey over image thresholding techniques and quantitative performance evaluation
    • Sezgin M, Sankur B (2004). Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic Imaging, 13(1), 146-165.
    • (2004) Journal of Electronic Imaging , vol.13 , Issue.1 , pp. 146-165
    • Sezgin, M.1    Sankur, B.2
  • 15
    • 34250350444 scopus 로고    scopus 로고
    • Technology development of autonomous ocean vehicle
    • Xu Yuru, Xiao Kun (2007). Technology development of autonomous ocean vehicle. Acta Automatica Sinica, 33(5), 518-521.
    • (2007) Acta Automatica Sinica , vol.33 , Issue.5 , pp. 518-521
    • Xu, Y.1    Xiao, K.2
  • 16
    • 43249091212 scopus 로고    scopus 로고
    • Beijing: Tsinghua University Press & Beijing Jiaotong University Press
    • Yang Shuying (2005). Image pattern recognition with VC++ technology. Tsinghua University Press & Beijing Jiaotong University Press, Beijing, 161-162.
    • (2005) Image Pattern Recognition with VC++ Technology , pp. 161-162
    • Yang, S.1
  • 17
    • 37749044692 scopus 로고    scopus 로고
    • Parameter analysis of particle swarm optimization algorithm
    • Yao Yaozhong, Xu Yuru (2007). Parameter analysis of particle swarm optimization algorithm. Journal of Harbin Engineering University, 28(11), 1242-1246.
    • (2007) Journal of Harbin Engineering University , vol.28 , Issue.11 , pp. 1242-1246
    • Yao, Y.1    Xu, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.