메뉴 건너뛰기




Volumn 16, Issue 1, 2002, Pages 701-706

Outex - New framework for empirical evaluation of texture analysis algorithms

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; IMAGE RETRIEVAL; TEXTURES; PATTERN RECOGNITION;

EID: 33751559152     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (677)

References (28)
  • 1
    • 0346197931 scopus 로고    scopus 로고
    • Overview of work in empirical evaluation of computer vision algorithms
    • (ed. K.W. Bowyer and P.J. Phillips), IEEE Computer Society Press, Los Alamitos
    • K.W. Bowyer and P.J. Phillips, "Overview of Work in Empirical Evaluation of Computer Vision Algorithms", In Empirical Evaluation Techniques in Computer Vision (ed. K.W. Bowyer and P.J. Phillips), IEEE Computer Society Press, Los Alamitos, 1998, pp. 1-11.
    • (1998) Empirical Evaluation Techniques in Computer Vision , pp. 1-11
    • Bowyer, K.W.1    Phillips, P.J.2
  • 7
    • 33749693768 scopus 로고
    • Performance characterization in computer vision
    • R.M. Haralick, "Performance Characterization in Computer Vision", CVGIP: Image Understanding, 1994, vol. 60, pp. 245-249.
    • (1994) CVGIP: Image Understanding , vol.60 , pp. 245-249
    • Haralick, R.M.1
  • 9
    • 0000630797 scopus 로고
    • Ignorance, myopia, and naivete in computer vision systems
    • R. Jain and T. Binford, "Ignorance, Myopia, and Naivete in Computer Vision Systems", CVGIP: Image Understanding, 1991, vol. 53, pp. 112-117.
    • (1991) CVGIP: Image Understanding , vol.53 , pp. 112-117
    • Jain, R.1    Binford, T.2
  • 13
    • 0026900840 scopus 로고
    • Performance evaluation for four classes of textural features
    • P.P. Ohanian and R.C. Dubes, "Performance Evaluation for Four Classes of Textural Features", Pattern Recognition, 1992, vol. 25, pp. 819-833.
    • (1992) Pattern Recognition , vol.25 , pp. 819-833
    • Ohanian, P.P.1    Dubes, R.C.2
  • 15
    • 0033101072 scopus 로고    scopus 로고
    • Unsupervised texture segmentation using feature distributions
    • T. Ojala and M. Pietikäinen, "Unsupervised Texture Segmentation Using Feature Distributions", Pattern Recognition, 1999, vol. 32, pp. 477-486.
    • (1999) Pattern Recognition , vol.32 , pp. 477-486
    • Ojala, T.1    Pietikäinen, M.2
  • 16
    • 0029669420 scopus 로고    scopus 로고
    • A comparative study of texture measures with classification based on feature distributions
    • T. Ojala, M. Pietikäinen and D. Harwood, "A Comparative Study of Texture Measures with Classification Based on Feature Distributions", Pattern Recognition, 1996, vol. 29, pp. 51-59.
    • (1996) Pattern Recognition , vol.29 , pp. 51-59
    • Ojala, T.1    Pietikäinen, M.2    Harwood, D.3
  • 19
    • 0035283640 scopus 로고    scopus 로고
    • Texture discrimination with multidimensional distributions of signed gray level differences
    • T. Ojala, K. Valkealahti, E. Oja and M. Pietikäinen, "Texture Discrimination with Multidimensional Distributions of Signed Gray Level Differences", Pattern Recognition, 2001, vol. 34, pp. 727-739.
    • (2001) Pattern Recognition , vol.34 , pp. 727-739
    • Ojala, T.1    Valkealahti, K.2    Oja, E.3    Pietikäinen, M.4
  • 20
    • 38249015975 scopus 로고
    • Why progress in machine vision is so low
    • T. Pavlidis, "Why Progress in Machine Vision Is So Low", Pattern Recognition Letters, 1992, vol. 13, pp. 221-225.
    • (1992) Pattern Recognition Letters , vol.13 , pp. 221-225
    • Pavlidis, T.1
  • 22
    • 0033640841 scopus 로고    scopus 로고
    • Rotation-invariant texture classification using feature distributions
    • M. Pietikäinen, T. Ojala T and Z. Xu, "Rotation-invariant Texture Classification Using Feature Distributions", Pattern Recognition, 2000, vol. 33, pp. 43-52.
    • (2000) Pattern Recognition , vol.33 , pp. 43-52
    • Pietikäinen, M.1    Ojala, T.2    Xu, Z.3
  • 23
    • 0031152925 scopus 로고    scopus 로고
    • Robust rotation-invariant texture classification: Wavelet, gabor filter and GMRF based schemes
    • R. Porter R and N. Canagarajah, "Robust Rotation-Invariant Texture Classification: Wavelet, Gabor Filter and GMRF Based Schemes", IEE Proc. - Vision, Image and Signal Processing, 1997, vol. 144, pp. 180-188.
    • (1997) IEE Proc. - Vision, Image and Signal Processing , vol.144 , pp. 180-188
    • Porter, R.1    Canagarajah, N.2
  • 24
    • 0022807464 scopus 로고
    • Anything you can do, I can do better (no you can't)
    • K. Price, "Anything You Can Do, I Can Do Better (No You Can't)", Computer Vision, Graphics, and Image Processing, 1986, vol. 36, pp. 387-391.
    • (1986) Computer Vision, Graphics, and Image Processing , vol.36 , pp. 387-391
    • Price, K.1
  • 26
    • 0031348906 scopus 로고    scopus 로고
    • Measuring texture classification algorithms
    • MeasTex Image Texture Database and Test Suite, Australia
    • G. Smith and I. Burns, "Measuring Texture Classification Algorithms", Pattern Recognition Letters, 1997, vol. 18, pp. 1495-1501. MeasTex Image Texture Database and Test Suite, CSSIP, University of Queensland, Australia, http://www.cssip.uq.edu.au/staff/meastex/meastex.html.
    • (1997) Pattern Recognition Letters , vol.18 , pp. 1495-1501
    • Smith, G.1    Burns, I.2
  • 28
    • 0344940666 scopus 로고
    • Vision and Modeling Group
    • VisTex Vision Texture Database, Vision and Modeling Group, MIT Media Laboratory, 1995, http://www-white.media.mit.edu/vismod/imagery/VisionTexture/.
    • (1995) VisTex Vision Texture Database


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.