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Volumn 53, Issue 4, 2006, Pages 259-263

New Object-Oriented Segmentation Algorithm Based on the CNN Paradigm

Author keywords

Cellular neural network (CNN); object oriented algorithm; segmentation

Indexed keywords

ALGORITHMS; CELLULAR NEURAL NETWORKS; MATHEMATICAL MODELS; OBJECT ORIENTED PROGRAMMING; VIDEO STREAMING;

EID: 33847656377     PISSN: 15497747     EISSN: 15583791     Source Type: Journal    
DOI: 10.1109/TCSII.2005.859571     Document Type: Article
Times cited : (22)

References (9)
  • 1
    • 0030285432 scopus 로고    scopus 로고
    • On object-oriented video-coding using the CNN Universal machine
    • Nov.
    • A. Stoffels, T. Roska, and L. O. Chua, “On object-oriented video-coding using the CNN Universal machine,” IEEE Trans. Circuits Syst. I, Fundam. Theory Appl., vol. 43, no. 11, pp. 948–952, Nov. 1996.
    • (1996) IEEE Trans. Circuits Syst. I, Fundam. Theory Appl. , vol.43 , Issue.11 , pp. 948-952
    • Stoffels, A.1    Roska, T.2    Chua, L.O.3
  • 2
    • 0031176572 scopus 로고    scopus 로고
    • Object-oriented image analysis for very-low-bitrate video-coding systems using the CNN Universal Machine
    • A. Stoffels, T. Roska, and L. O. Chua, “Object-oriented image analysis for very-low-bitrate video-coding systems using the CNN Universal Machine,” Int. J. Circuit Theory Appl., vol. 25, pp. 235–258, 1997.
    • (1997) Int. J. Circuit Theory Appl. , vol.25 , pp. 235-258
    • Stoffels, A.1    Roska, T.2    Chua, L.O.3
  • 3
    • 0343193215 scopus 로고    scopus 로고
    • Object-oriented motion segmentation for video compression in the CNN-UM
    • T. Sziranyi, K. Laszlo, L. Czuni, and F. Ziliani, “Object-oriented motion segmentation for video compression in the CNN-UM,” J. VLSI Signal Process., vol. 23, pp. 479–496, 1999.
    • (1999) J. VLSI Signal Process. , vol.23 , pp. 479-496
    • Sziranyi, T.1    Laszlo, K.2    Czuni, L.3    Ziliani, F.4
  • 5
    • 0038273898 scopus 로고    scopus 로고
    • Object-oriented Image Analysis using the CNN Universal Machine: New Analogic CNN Algorithms for Motion Compensation, Image Synthesis and Consistency Observation
    • Apr.
    • G. Grassi and L. A. Grieco, “Object-oriented Image Analysis using the CNN Universal Machine: New Analogic CNN Algorithms for Motion Compensation, Image Synthesis and Consistency Observation,” IEEE Trans. Circuits Syst. I, Fundam. Theory Appl., vol. 50, no. 4, pp. 488–499, Apr. 2003.
    • (2003) IEEE Trans. Circuits Syst. I, Fundam. Theory Appl. , vol.50 , Issue.4 , pp. 488-499
    • Grassi, G.1    Grieco, L.A.2
  • 7
    • 0036754856 scopus 로고    scopus 로고
    • Simple nonlinear dual-window operator for edge detection
    • E. Di Sciascio and C. Guaragnella, “Simple nonlinear dual-window operator for edge detection,” Opt. Eng., vol. 41, no. 9, pp. 2181–2185, 2002.
    • (2002) Opt. Eng. , vol.41 , Issue.9 , pp. 2181-2185
    • Di Sciascio, E.1    Guaragnella, C.2
  • 8
    • 34047111864 scopus 로고    scopus 로고
    • [Online]. Available:
    • CSL-CNN Soft. Library (2000). [Online]. Available: http://lab.ana-logic.sztaki.hu/candy/csl.html
    • (2000) CSL-CNN Soft. Library
  • 9
    • 85008003823 scopus 로고    scopus 로고
    • [Online]. Available:
    • [Online]. Available: http://www.imse.cnm.es/~dictam/2ND_PHASE


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.