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Image Processing with Python

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References

  1. M. Beyeler, Machine Learning for OpenCV: Intelligent Image Processing with Python, Packt Publishing - ebooks Account, 2017.

    Google Scholar 

  2. W. Birkfellner, Applied Medical Image Processing, Second Edition: A Basic Course, Taylor & Francis, New York, 2014.

    Google Scholar 

  3. E. Brigham Fast Fourier Transform and Its Applications, Prentice-Hall, New Jersey, 1988.

    Google Scholar 

  4. M. Charbit, Digital Signal Processing (DSP) with Python Programming, Wiley, New York, 2017.

    MATH  Google Scholar 

  5. R. Chityala and S. Pudipeddi, Image Processing and Acquisition using Python, Chapman and Hall, London, 2014.

    Book  Google Scholar 

  6. J.W. Cooley and J.W. Tukey, An algorithm for the machine calculation of complex Fourier series, Math. Comput. 19, (1965), 297–301.

    Article  MathSciNet  Google Scholar 

  7. Z. Elhadj and J.C. Sprott, A minimal 2-D quadratic map with quasiperiodic route to chaos, Int. J. of Bifurcation and Chaos 18, (2008), 1567–1577.

    Article  MathSciNet  Google Scholar 

  8. V. Hlavac, M. Sonka and R. Boyle, Image Processing, Analysis and Machine Vision 4th ed., Nelson Engineering, Osprey, Florida, 2014.

    Google Scholar 

  9. E.F. James A Student’s Guide to Fourier Transforms: With Applications in Physics and Engineering, Cambridge University Press, Cambridge, 2011.

    Google Scholar 

  10. M. Petrou and C. Petrou, Image Processing: The Fundamentals 2nd ed., Wiley-Blackwell, Hoboken, New Jersey, 2010.

    Book  Google Scholar 

  11. I. Melbourne and G.A. Gottwald, Power spectra for deterministic chaotic dynamical systems, Nonlinearity 21 (2008), 279–292.

    Google Scholar 

  12. A. Pajankar,Raspberry Pi Image Processing Programming: Develop Real-Life Examples with Python, Pillow, and SciPy, Apress, New York, 2017.

    Google Scholar 

  13. J.C. Russ, The Image Processing Cookbook 3rd ed., CreateSpace Independent Publishing Platform, 2016.

    Google Scholar 

  14. J.L. Semmlow and B. Griffel, Biosignal and Medical Image Processing 3rd ed., CRC Press, Boca Raton, Florida, 2014.

    Google Scholar 

  15. J.E. Solem, Programming Computer Vision with Python: Tools and Algorithms for Analyzing Images, O’Reilly Media, Boston, 2012.

    Google Scholar 

  16. J. Unpingco, Python for Signal Processing: Featuring IPython Notebooks, Springer, New York, 2014.

    Book  Google Scholar 

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Lynch, S. (2018). Image Processing with Python. In: Dynamical Systems with Applications using Python. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-78145-7_18

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