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Volumn 27, Issue 10, 2009, Pages 1504-1514

Region-based Deformable Net for automatic color image segmentation

Author keywords

Deformable contours

Indexed keywords

COLOR; DEFORMATION; DIGITAL IMAGE STORAGE; IMAGE ANALYSIS; IMAGE SEGMENTATION;

EID: 67349197286     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2009.02.003     Document Type: Article
Times cited : (11)

References (38)
  • 1
    • 33750356522 scopus 로고    scopus 로고
    • Adaptive segmentation of textured images by using the coupled markov random field model
    • Xia Y., Feng D., and Zhao R. Adaptive segmentation of textured images by using the coupled markov random field model. IEEE Transactions on Image Processing 5 11 (2006) 3559-3566
    • (2006) IEEE Transactions on Image Processing , vol.5 , Issue.11 , pp. 3559-3566
    • Xia, Y.1    Feng, D.2    Zhao, R.3
  • 2
    • 33747642903 scopus 로고    scopus 로고
    • Unsupervised multiscale color image segmentation based on MDL principle
    • Luo Q., and Khoshgoftaar T.M. Unsupervised multiscale color image segmentation based on MDL principle. IEEE Transactions on Image Processing 15 9 (2006) 2755-2761
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.9 , pp. 2755-2761
    • Luo, Q.1    Khoshgoftaar, T.M.2
  • 4
    • 13644254168 scopus 로고    scopus 로고
    • A region dissimilarity relation that combines feature-space and spatial information for color image segmentation
    • Makrogiannis S., Economou G., and Fotopoulos S. A region dissimilarity relation that combines feature-space and spatial information for color image segmentation. IEEE Transactions on Systems, Man, and Cybernetics 35 1 (2005) 44-53
    • (2005) IEEE Transactions on Systems, Man, and Cybernetics , vol.35 , Issue.1 , pp. 44-53
    • Makrogiannis, S.1    Economou, G.2    Fotopoulos, S.3
  • 6
    • 23044449890 scopus 로고    scopus 로고
    • Color clustering and learning for image segmentation based on neural networks
    • Guo D., and Ming X. Color clustering and learning for image segmentation based on neural networks. IEEE Transactions on Neural Networks 16 4 (2005) 925-936
    • (2005) IEEE Transactions on Neural Networks , vol.16 , Issue.4 , pp. 925-936
    • Guo, D.1    Ming, X.2
  • 7
    • 84975034328 scopus 로고    scopus 로고
    • J. Verges, Color Constancy and Image Segmentation Techniques for Applications to Mobile Robotics, Ph.D., University of Catalonia, Spain, 2005.
    • J. Verges, Color Constancy and Image Segmentation Techniques for Applications to Mobile Robotics, Ph.D., University of Catalonia, Spain, 2005.
  • 9
    • 84990602490 scopus 로고
    • Optimal approximation by piecewise smooth functions and associated variational problems
    • Mumford D., and Shah J. Optimal approximation by piecewise smooth functions and associated variational problems. Communications on Pure and Applied Mathematics 42 5 (1989) 577-685
    • (1989) Communications on Pure and Applied Mathematics , vol.42 , Issue.5 , pp. 577-685
    • Mumford, D.1    Shah, J.2
  • 11
    • 0031189783 scopus 로고    scopus 로고
    • A region growing and merging algorithm to color segmentation
    • Tremeau A., and Borel N. A region growing and merging algorithm to color segmentation. Pattern Recognition 30 7 (1997) 1191-1203
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1191-1203
    • Tremeau, A.1    Borel, N.2
  • 12
    • 84998577514 scopus 로고
    • Color image segmentation by a watershed algorithm and region adjacency graph processing
    • Austin, TX
    • K. Saarinen, Color image segmentation by a watershed algorithm and region adjacency graph processing, in: Proceedings of IEEE International Conference on Image Processing (ICIP'94), Austin, TX, vol. 3, 1994, pp. 1021-1025.
    • (1994) Proceedings of IEEE International Conference on Image Processing (ICIP'94) , vol.3 , pp. 1021-1025
    • Saarinen, K.1
  • 13
    • 33646015054 scopus 로고    scopus 로고
    • A faster converging snake algorithm to locate object boundaries
    • Sakalli M., Lam K.M., and Hong Y. A faster converging snake algorithm to locate object boundaries. IEEE Transactions on Image Processing 15 5 (2006) 1182-1191
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.5 , pp. 1182-1191
    • Sakalli, M.1    Lam, K.M.2    Hong, Y.3
  • 14
    • 33747710039 scopus 로고    scopus 로고
    • Deformable Shape Finding with models based on kernel methods
    • Chang Ch. Deformable Shape Finding with models based on kernel methods. IEEE Transactions on Image Processing 15 5 (2006) 2743-2754
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.5 , pp. 2743-2754
    • Chang, Ch.1
  • 15
    • 3542994485 scopus 로고    scopus 로고
    • Automatic visual recognition of deformable objects for grasping and manipulation
    • Foresti G., and Pellegrino F. Automatic visual recognition of deformable objects for grasping and manipulation. IEEE Transactions on Systems, Man, and Cybernetics 34 3 (2004) 325-333
    • (2004) IEEE Transactions on Systems, Man, and Cybernetics , vol.34 , Issue.3 , pp. 325-333
    • Foresti, G.1    Pellegrino, F.2
  • 16
    • 67349232034 scopus 로고    scopus 로고
    • Model deformation using hit or miss operation
    • Shaaban K. Model deformation using hit or miss operation. Journal of Engineering Science 32 1 (2004) 471-484
    • (2004) Journal of Engineering Science , vol.32 , Issue.1 , pp. 471-484
    • Shaaban, K.1
  • 17
    • 84975041600 scopus 로고    scopus 로고
    • L. He, A Comparison of Deformable Contour Methods and Model based Approach using Skeleton for Shape Recovery from Images, Ph.D., Elec. Dep., Computer Eng. and Computer Science, College of Engineering, University of Cincinnati, 2003.
    • L. He, A Comparison of Deformable Contour Methods and Model based Approach using Skeleton for Shape Recovery from Images, Ph.D., Elec. Dep., Computer Eng. and Computer Science, College of Engineering, University of Cincinnati, 2003.
  • 21
    • 0041522152 scopus 로고    scopus 로고
    • Region segmentation via deformable model-guided split and merge
    • Technical Report, Computer Science Department, Boston University
    • L. Liu, S. Sclaroff, Region segmentation via deformable model-guided split and merge, Technical Report, Computer Science Department, Boston University, 2001.
    • (2001)
    • Liu, L.1    Sclaroff, S.2
  • 30
    • 29144525336 scopus 로고    scopus 로고
    • Level set methods and their applications in image science
    • Tsai R., and Osher S. Level set methods and their applications in image science. Communications in Mathematical Sciences 1 4 (2003) 623-656
    • (2003) Communications in Mathematical Sciences , vol.1 , Issue.4 , pp. 623-656
    • Tsai, R.1    Osher, S.2
  • 31
    • 84967215074 scopus 로고    scopus 로고
    • T.F. Chan, L. Vese, A level set algorithm for minimizing the Mumford-Shah functional in image processing, in: Proceedings of the First IEEE Workshop on Variational and Level Set Methods in Computer Vision, 2001, pp. 161-168.
    • T.F. Chan, L. Vese, A level set algorithm for minimizing the Mumford-Shah functional in image processing, in: Proceedings of the First IEEE Workshop on Variational and Level Set Methods in Computer Vision, 2001, pp. 161-168.
  • 32
    • 35348937115 scopus 로고    scopus 로고
    • Multiphase image segmentation via Modica-Mortola phase transition
    • Jung Y.M., Kang S.H., and Shen J. Multiphase image segmentation via Modica-Mortola phase transition. SIAM Journal on Applied Mathematics 67 5 (2007) 1213-1232
    • (2007) SIAM Journal on Applied Mathematics , vol.67 , Issue.5 , pp. 1213-1232
    • Jung, Y.M.1    Kang, S.H.2    Shen, J.3
  • 37
    • 33750238502 scopus 로고    scopus 로고
    • A new perceptually uniform color space with associated color similarity measure for content-based image and video retrieval
    • Salvador, Brazil
    • M. Sarifuddin, Rokia Missaoui, A new perceptually uniform color space with associated color similarity measure for content-based image and video retrieval, in: ACM SIGIR Workshop on Multimedia Information Retrieval, Salvador, Brazil, 2005, pp. 1-8.
    • (2005) ACM SIGIR Workshop on Multimedia Information Retrieval , pp. 1-8
    • Sarifuddin, M.1    Missaoui, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.