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Comparison of the effectiveness of some objective quality measures for digital mammograms

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Języki publikacji
EN
Abstrakty
EN
A number of objective gray scale image quality measures were evaluated. The examined set contained well-known methods as well as new promising techniques. The main goal of this study was to propose a measure applicable in an automatic mammogram quality measure and improvement system. For this reason, the mammograms with distortions corresponding to the real distortions, such as occuring in image creation process in classical and digital mammography, were used as test images. The results obtained allow choose the effective method of such measure.
Twórcy
autor
  • Institute of Radioelectronics, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland
autor
  • Institute of Radioelectronics, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland
Bibliografia
  • [1] Kowski R.: Mammografia — podręcznik zachowania standardów jakości, Wydawnictwo lekarskie PZWL, Warszawa 2001.
  • [2] Eskicioglu A. M„ Fisher P. S.: Image Quality Measures and Their Performance, IEEE Trans. Commun., 1995, 43(12), 2959-2965.
  • [3] Avcybas Y, Sankur B.: Statistical Analysis of Image Quality Measures, 10. European Signal Processing Conf., EUSIPCO-2000, 2181-2184, Tampere, Finland, 2000.
  • [4] Nill N. B.: A Visual Model Weighted Cosine Transform for Image Compression and Quality Assessment, 1FFF Trans. Commun., 1985, 33(6) 551-557.
  • [5] Wang Z., Borowik A.: A Universal Image Quality Index, IEEE Signal Process. Lett. 2002,3, 81-84.
  • [6] http://www.cns.nyu.edu/~zwang/files/research/ssim/index.html.
  • [7] Collective work edited by J. Dziukowa Mammografia w diagnostyce raka sutka, Bel Corp, Warszawa 1998.
  • [8] Bajpai A. C., Całus I. M., Fairley J. A.: Statistical Methods for Engineers and Scientists, Wiley, New York 1979.
  • [9] Canny J.: A Computational Approach to Edge Detection, IEEE Trans. Pattern. Anal. Mach. Intell., 1986, 8(6), 679-698.
  • [10] Pratt W. K.: Digital Image Processing, Wiley, 1978, New York.
  • [11] Nill N. B. and Bouzas B. H.: Objective Image Quality Measure Derived From Digital Image Power Spectra, Optical Engineering, 1, 4, pp. 813-825.
  • [12] Wang Z., Borovik A., Sheikh H. R., Simocelli E. P: Image Quality Assesment: From Error to Measurement to Structural Similarity IEEE Transactions on Image Processing, 13, 1.
  • [13] http://marathon.csee.usf.edu/Mammography/Database.html.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0011-0017
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