메뉴 건너뛰기




Volumn 15, Issue 12, 1997, Pages 937-948

An MLP-based texture segmentation method without selecting a feature set

Author keywords

Feature extraction; Modified backpropagation; Multilayer perceptron; Texture segmentation

Indexed keywords

ALGORITHMS; BACKPROPAGATION; FEATURE EXTRACTION; IMAGE QUALITY; NEURAL NETWORKS; REAL TIME SYSTEMS;

EID: 0031378957     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0262-8856(97)00035-8     Document Type: Article
Times cited : (11)

References (25)
  • 1
    • 0018466704 scopus 로고
    • Statistical and structural approaches to texture
    • R.M. Haralick, Statistical and structural approaches to texture, Proc. IEEE 67 (5) (1979) 786-804.
    • (1979) Proc. IEEE , vol.67 , Issue.5 , pp. 786-804
    • Haralick, R.M.1
  • 6
    • 0018478429 scopus 로고
    • Segmentation by texture using co-occurrence matrix and split-and-merge algorithm
    • P.C. Chen, T. Pavlidis, Segmentation by texture using co-occurrence matrix and split-and-merge algorithm. Computer Graphics and Image Processing 10 (2) (1979) 172-182.
    • (1979) Computer Graphics and Image Processing , vol.10 , Issue.2 , pp. 172-182
    • Chen, P.C.1    Pavlidis, T.2
  • 8
    • 0026821278 scopus 로고
    • Texture classification and segmentation using simultaneous autoregressive model
    • J. Mao, A.K. Jain, Texture classification and segmentation using simultaneous autoregressive model, Patt. Recog. 25 (2) (1992) 173-188.
    • (1992) Patt. Recog. , vol.25 , Issue.2 , pp. 173-188
    • Mao, J.1    Jain, A.K.2
  • 9
    • 0026152376 scopus 로고
    • Unsupervised texture segmentation using Markov random field models
    • B.S. Manjunath, R. Chellappa, Unsupervised texture segmentation using Markov random field models, IEEE Trans. Patt. Anal. Machine Intell. PAMI-13 (5) (1991) 478-482.
    • (1991) IEEE Trans. Patt. Anal. Machine Intell. , vol.PAMI-13 , Issue.5 , pp. 478-482
    • Manjunath, B.S.1    Chellappa, R.2
  • 10
    • 0028422783 scopus 로고
    • Principal feature-based texture classification with neural networks
    • C. Shang, K. Brown, Principal feature-based texture classification with neural networks, Patt. Recog. 27 (5) (1994) 675-687.
    • (1994) Patt. Recog. , vol.27 , Issue.5 , pp. 675-687
    • Shang, C.1    Brown, K.2
  • 12
    • 0043243211 scopus 로고
    • Neural networks for the texture classification of temporally consistent segmented regions of FLIR sequences
    • Jerusalem, Israel, 1994, IEEE Computer Society Press
    • J.F. Haddon, J.F. Boyce, Neural networks for the texture classification of temporally consistent segmented regions of FLIR sequences, in: Proc. 12th IAPR Int. Conf. on Pattern Recognition, II, Jerusalem, Israel, 1994, pp. 107-111, IEEE Computer Society Press, 1994.
    • (1994) Proc. 12th IAPR Int. Conf. on Pattern Recognition , vol.2 , pp. 107-111
    • Haddon, J.F.1    Boyce, J.F.2
  • 13
    • 0025568060 scopus 로고
    • A multiresolution approach to texture segmentation using neural networks
    • 16-21 Iune Atlantic City, New Jersey, USA: Proceedings, I, IAPR
    • S.R. Yhann, T.Y. Young. A multiresolution approach to texture segmentation using neural networks, 10th Int. Conf. on Pattern Recognition, 16-21 Iune 1990, Atlantic City, New Jersey, USA: Proceedings, I, IAPR, pp. 513-517.
    • (1990) 10th Int. Conf. on Pattern Recognition , pp. 513-517
    • Yhann, S.R.1    Young, T.Y.2
  • 16
    • 0029307064 scopus 로고
    • On the rate of convergence of perceptron learning
    • U. Bhattacharya, S.K. Parui, On the rate of convergence of perceptron learning, Patt. Recog. Lett. 16 (5) (1995) 491-497.
    • (1995) Patt. Recog. Lett. , vol.16 , Issue.5 , pp. 491-497
    • Bhattacharya, U.1    Parui, S.K.2
  • 17
    • 0024137490 scopus 로고
    • Increased rates of convergence through learning rate adaptation
    • R.A. Jacobs, Increased rates of convergence through learning rate adaptation, Neural Networks 1 (1988) 295-307.
    • (1988) Neural Networks , vol.1 , pp. 295-307
    • Jacobs, R.A.1
  • 18
    • 0029452981 scopus 로고
    • Self-adaptive learning rates in backpropagation algorithm improve its function approximation performance
    • the University of Western Australia, Perth, Western Australia, 27 November-1 December 1995, Institute of Electrical and Electronic Engineers, New York
    • U. Bhattacharya, S.K. Parui, Self-adaptive learning rates in backpropagation algorithm improve its function approximation performance, 1995 IEEE Int. Conf. on Neural Networks: Proceedings, the University of Western Australia, Perth, Western Australia, 27 November-1 December 1995, Institute of Electrical and Electronic Engineers, New York, 1995, pp. 2784-2788.
    • (1995) 1995 IEEE Int. Conf. on Neural Networks: Proceedings , pp. 2784-2788
    • Bhattacharya, U.1    Parui, S.K.2
  • 19
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe, H. White, Multilayer feedforward networks are universal approximators, Neural Networks 2 (1989) 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 20
    • 0003383280 scopus 로고
    • Creating local and distributed bottlenecks in hidden layers of back-propagation networks
    • D. Touretzky, G. Hinton, T. Sejnowski (Eds.), San Mateo, Morgan Kaufmann, CA
    • J.K. Kruschke, Creating local and distributed bottlenecks in hidden layers of back-propagation networks, in: D. Touretzky, G. Hinton, T. Sejnowski (Eds.), Proc. 1988 Connectionist Models Summer School, San Mateo, Morgan Kaufmann, CA, 1988, pp. 120-126.
    • (1988) Proc. 1988 Connectionist Models Summer School , pp. 120-126
    • Kruschke, J.K.1
  • 22
    • 84975625020 scopus 로고
    • Noise updating repeated weiner filter and other adaptive noise smoothing filters using local image statistics
    • J.J. Jiang, A.A. Sawchuk, Noise updating repeated weiner filter and other adaptive noise smoothing filters using local image statistics, Appl. Opt. 25 (1986) 2336-2337.
    • (1986) Appl. Opt. , vol.25 , pp. 2336-2337
    • Jiang, J.J.1    Sawchuk, A.A.2
  • 23
    • 0027665696 scopus 로고
    • An improved fractal geometry based texture segmentation technique
    • B.B. Chaudhuri, N. Sarkar, P. Kundu, An improved fractal geometry based texture segmentation technique, Proc. IEE Part E 140 (1993) 233-241.
    • (1993) Proc. IEE Part E , vol.140 , pp. 233-241
    • Chaudhuri, B.B.1    Sarkar, N.2    Kundu, P.3
  • 24
    • 0024881317 scopus 로고
    • Supervised textured image segmentation using feature smoothing and probabilistic relaxation techniques
    • J.Y. Hsiao, A.A. Sawchuk, Supervised textured image segmentation using feature smoothing and probabilistic relaxation techniques, IEEE Trans. Patt. Anal. Machine Intell. PAMI-11 (12) (1989) 1279-1292.
    • (1989) IEEE Trans. Patt. Anal. Machine Intell. , vol.PAMI-11 , Issue.12 , pp. 1279-1292
    • Hsiao, J.Y.1    Sawchuk, A.A.2
  • 25


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.