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Similarity analysis in medical image databases

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The review of methods of similarity analysis of medical images is presented. Feature extraction, feature representation and different concepts of image query algebra problems are described and discussed from the medical application point of view. New algorithms based on medical image regularity description and intensity description are proposed. As a conclusion a Java application "ObrazMed" for content based medical image analysis is presented.
Słowa kluczowe
Rocznik
Strony
419--444
Opis fizyczny
Bibliogr. 21 poz., rys.
Twórcy
autor
  • Department of Medical and Ecological Electronics, Technical University of Gdansk, ul Narutowicza 11/12, 80-952 Gdansk, Poland
Bibliografia
  • [1] J.R. Smith, Integrated Spatial and feature image systems: retrieval, analysis and compression, PhD dissertation, Columbia University 1997
  • [2] N. Nes and M. Kersten, The Acoi Algebra: A Query algebra for image retrieval systems, BNCOD’ 16, Cardiff, 77-88, July 1998
  • [3] F. van der Heijden, Image-Based Measurement Systems, Wiley&Sons 1995
  • [4] E. Vicario ed., Image Description and Retrieval, Plenum Press 1998
  • [5] ASSERT system — http://rvll.ecn.purdue.edu/vl/CBIR/CBlRASSE.RT.html
  • [6] M. Fhckner, H.S. Sawhney, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele and P. Yanker, Quay by image and video content: The QBIC system, IEEE Computer 28(9), 23-32,1995
  • [7] M. Celenk, A color clustering technique for image segmentation, Computer Vision, Graphics and Image Processing (CVGIP), vol. 52 1990
  • [8] T.-S. Chua, S.-K. Lint and H.-K. Pung, Content-based retrieval of segmented images, Proc. ACM Intern. Conf. Multimedia, October 1994
  • [9] S. Cooper, Find Waldo Now, Little, Brown and Company, 1988
  • [10] J.M.H. Du Buf, Abstract process in texture discrimination, Spatial Vision, vol. 6 1992
  • [11] J.M.H. Du Buf, M. Kardan and W. Spann, Texture feature performance for image segmentation, Pattern Recog., 23(3/4), 1990
  • [12] B.B. Chaudhari and N. Sarkar, Texture segmentation using fractal dimension, IEEE Trans. Pattern Anal. Machine IntelL, 17(1), January 1995
  • [13] R. Chellappa, R.L. Kashyap and B.S. Manjunath, Model-based texture segmentation and classification, in: C.H. Chen, L.F. Pau and P.S.P. Wang, editors. Handbook of Pattern Recognition and Computer Vision, 277-310, World Scientific Publishing Company, River Edge, NJ, 1993
  • [14] D. Dunn and W.E. Higgins, Optimal gabor filters for texture segmentation, IEEE Trans. Image Processing, 4(7), July 1995
  • [15] F. Ennesser and G. Medioni, Finding waldo, or focus of attention using local color information, IEEE Trans. Pattern Anal Machine Intell., 17(8), August 1995
  • [16] C. Carson, S. Belongie, H. Greenspan and J. Malik, Region-Based Image Quering, CVPR’97 IEEE Workshop on Content-Based Access of Image and Video Libraries, Puerto Rico, 1997
  • [17] N.W. Campbell, W.P.J. Mackeown, B.T. Thomas and T. Troscianko, Interpreting image databases by region classification. Pattern Recognition (Special Edition on Image Databases) vol. 30, no. 4, April 1997
  • [18] J.Z. Wang, G. Wiederhold, O. Firschrn and S.X. Wei; Content-based Image indexing and searching using Daubechies ’ wavelets, International Journal on Digital Libraries, 1(4), 311-328, Springer-Verlag 1998
  • [19] A. Gupta, Visual information retrieval: A virageperspective, Technical report, Virage, San Mateo, CA, 1995
  • [20] A. Pentland, R.W. Picard, and S. Sclaroff, Photobook: Content Based Manipulation of Image Databases, chapter 2,43-75, Kluwer, Academic publishers, 1996
  • [21] J. Ruminski, Content based medical image analysis, Proceedings of Computer Assisted Radiology and Surgery Congress, International Congress Series, Elsevier 1999
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT3-0018-0035
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