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International Workshop on Computer Vision for Biomedical Image Applications

CVBIA 2005: Computer Vision for Biomedical Image Applications pp 125–134Cite as

A New Vision Approach for Local Spectrum Features in Cervical Images via 2D Method of Geometric Restriction in Frequency Domain

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3765))

Abstract

Digital colposcopy is an emerging new technology, which can be used as adjunct to the conventional Pap test for staging of cervical cancer and it can improve the diagnostic accuracy of the test. Computer aided diagnosis (CAD) in digital colposcopy has as a goal to segment and outline abnormal areas on the cervix, one of which is an important anatomical landmark on the ectocervix – the transformation zone (TZ). In this paper we proposed a new method for estimation of the local spectrum features of cervical cancer in vivo. We used a 2D method to estimate the energy of the local frequency bands, using a geometric restriction (GR). In the current work we reported up to 12 dB difference between the local power spectral density content of the region of interest (ROI) and (ROI)complimentary for the mid-frequency band. We devised a method to present pseudo-color visual maps of the cervical images, useful for CAD and successful ROI segmentation.

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References

  1. Beral, V., Booth, M.: Precision of cervical cancer incidence and mortality in England and Wales. Lancet 1, 495 (1986)

    Article  Google Scholar 

  2. Steward, M.L., Collins, Y.C.: Strength of Correlations Between ColposcopicImpressions and Biopsy Histology. Gynecol. Oncol. 89, 424–428 (2003)

    Article  Google Scholar 

  3. Van Raad, V., Bradley, A.: Emerging Technologies, Signal Processing and Statistical Methods for Screening of Cervical Cancer in vivo - Are they good candidates for Cervical Screening? IEEE - IEE Proceedings of Advances in Biomed. Signal and Information Processing 2, 210–217 (2004)

    Google Scholar 

  4. Pogue, B.W., Mycek, M.-A., Harper, D.: Image Analysis for Discrimination of Cervical Neoplasia. J. BioMed. Optics 5(1), 72–82 (2000)

    Article  Google Scholar 

  5. Ji, Q., Engel, J., Craine, E.R.: Texture Analysis for Classifications of Cervix Lesions. IEEE Trans. Medical Imaging 19(11), 1144–1149 (2000)

    Article  Google Scholar 

  6. Van Raad, V.: Gabor Wavelet Design for Analysis of Cervical Images. Proc. of the World Congress of BioMed Eng. (4), 16–20 (2003)

    Google Scholar 

  7. Van Raad, V.: Frequency Space Analysis of Cervical Images Using Short Time Fourer Transform. In: Proc. of the IASTED in Conf. of BioMed Eng., vol. (1), pp. 77–81 (2003)

    Google Scholar 

  8. Van Raad, V.: Design of Gabor Wavelets for Analysis of Texture Features in Cervical Images. In: IEEE Silver Anniversary Conference of BioMed. Eng., Cancun, Mexico, September 17-21 (2003)

    Google Scholar 

  9. Khinchin, A.I.: Mathematical Foundations of Information Theory. Dover Publications, Mineola (1957)

    MATH  Google Scholar 

  10. Durani, T.S., Nightingale, J.M.: Probability Distributions fo Discrete Fourier Spectra. Proc. Inst. Elect. Eng. 120(2), 299–311 (1973)

    Article  Google Scholar 

  11. Proakis, J.G., Manolakis, D.G.: Digital signal Processing: Principles, Algorithms and Applications. Prentice-Hall, Englewood Cliffs (1996)

    Google Scholar 

  12. Gabor, D.: Theory of Communications. Journal of IEE 93, 429–457 (1946)

    Google Scholar 

  13. Welch, P.D.: The Use of the Fast Fourier Transfrom for the Estimation of Power Spectra. IEEE Trans. Audio Elctroacoust, (AU-15), 70-73 (1967)

    Google Scholar 

  14. Johnson, P.E., Long, D.G.: The Probability Density of Spectral Estimates Based on Modified Periodogram Averages. IEEE TRanscations on Signal processing 47(5), 1255–1261 (1999)

    Article  Google Scholar 

  15. Oppenheim, A.V., Schafer, R.W.: Discrete Time Signal Processing. Prentice Hall Signal Processing Series,  Ch. 11 (1989)

    Google Scholar 

  16. Otsu, N.: A Threshold Selection Method from Gray-Level Histogram. IEEE Trans. Systems, Man, and Cybernetics 8, 62–66 (1978)

    Article  MathSciNet  Google Scholar 

  17. Wyszecki, G., Stiles, W.S.: Color Science. John Wiley, New York (1967)

    Google Scholar 

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Author information

Authors and Affiliations

  1. STI Medical Systems, Honolulu, HI, 96813, USA

    Viara Van Raad

Authors
  1. Viara Van Raad
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Editor information

Editors and Affiliations

  1. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA

    Yanxi Liu

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, People’s Republic of China

    Tianzi Jiang

  3. State Key Laboratory for Intelligent Technology and Systems, Department of Automation, Faculty of Information Science and Technology, Tsinghua University, 100084, Beijing, China

    Changshui Zhang

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© 2005 Springer-Verlag Berlin Heidelberg

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Van Raad, V. (2005). A New Vision Approach for Local Spectrum Features in Cervical Images via 2D Method of Geometric Restriction in Frequency Domain. In: Liu, Y., Jiang, T., Zhang, C. (eds) Computer Vision for Biomedical Image Applications. CVBIA 2005. Lecture Notes in Computer Science, vol 3765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569541_14

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  • DOI: https://doi.org/10.1007/11569541_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29411-5

  • Online ISBN: 978-3-540-32125-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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