Digital Image Processing Using Machine Learning

Authors

  • Priya Bansal  M. Tech Scholar, Department of CSE, I.G.U. Rewari, YCET Narnaul, Haryana, India
  • Mrs. Mamta  Assistant Professor, Department of CSE, I.G.U. Rewari, YCET Narnaul, Haryana, India

DOI:

https://doi.org//10.32628/IJSRSET19649

Keywords:

Digital Image Processing, Machine Learning, Gray Scale Image

Abstract

Main aim of Digital Image Processing Using Machine Learning is to extract important data from images. Using this extracted information description, interpretation and understanding of the scene can be provided by the machine. Main point of image processing is to modify images in to desired manner. Image processing is called as altering and analyzing pictorial information of images. In our daily life we come across different type of image processing best example of image processing in our daily life is our brain sensing lot of images when we see images with eyes and processing is done is very less time.

References

  1. Dudgeon, D.E. and R.M. Mersereau, Multidimensional Digital Signal Processing. 1984, Englewood Cliffs, New Jersey: Prentice-Hall.
  2. Castleman, K.R., Digital Image Processing. Second ed. 1996, Englewood Cliffs, New Jersey: Prentice-Hall.
  3. Oppenheim, A.V., A.S. Willsky, and I.T. Young, Systems and Signals. 1983, Englewood Cliffs, New Jersey: Prentice-Hall.
  4. Papoulis, A., Systems and Transforms with Applications in Optics. 1968, New York: McGraw-Hill.
  5. Russ, J.C., The Image Processing Handbook. Second ed. 1995, Boca Raton, Florida: CRC Press.
  6. Giardina, C.R. and E.R. Dougherty, Morphological Methods in Image and Signal Processing. 1988, Englewood Cliffs, New Jersey: Prentice–Hall. 321.
  7. Gonzalez, R.C. and R.E. Woods, Digital Image Processing. 1992, Reading, Massachusetts: Addison-Wesley. 716.
  8. Goodman, J.W., Introduction to Fourier Optics. McGraw-Hill Physical and Quantum Electronics Series. 1968, New York: McGraw-Hill. 287.
  9. Heijmans, H.J.A.M., Morphological Image Operators. Advances in Electronics and Electron Physics. 1994, Boston: Academic Press.
  10. Hunt, R.W.G., The Reproduction of Colour in Photography, Printing & Television,. Fourth ed. 1987, Tolworth, England: Fountain Press.
  11. Freeman, H., Boundary encoding and processing, in Picture Processing and Psychopictorics, B.S. Lipkin and A. Rosenfeld, Editors. 1970, Academic Press: New York. p. 241-266.
  12. Stockham, T.G., Image Processing in the Context of a Visual Model. Proc. IEEE, 1972. 60: p. 828 - 842.
  13. Murch, G.M., Visual and Auditory Perception. 1973, New York: BobbsMerrill Company, Inc. 403.
  14. Frisby, J.P., Seeing: Illusion, Brain and Mind. 1980, Oxford, England: Oxford University Press. 160.
  15. Blakemore, C. and F.W.C. Campbell, On the existence of neurons in the human visual system selectively sensitive to the orientation and size of retinal images. J. Physiology, 1969. 203: p. 237-260.
  16. Born, M. and E. Wolf, Principles of Optics. Sixth ed. 1980, Oxford: Pergamon Press.
  17. Young, I.T., Quantitative Microscopy. IEEE Engineering in Medicine and Biology, 1996. 15(1): p. 59-66.
  18. Dorst, L. and A.W.M. Smeulders, Length estimators compared, in Pattern Recognition in Practice II, E.S. Gelsema and L.N. Kanal, Editors. 1986, Elsevier Science: Amsterdam. p. 73-80.
  19. Young, I.T., Sampling density and quantitative microscopy. Analytical and Quantitative Cytology and Histology, 1988. 10(4): p. 269-275.
  20. Kulpa, Z., Area and perimeter measurement of blobs in discrete binary pictures. Computer Vision, Graphics and Image Processing, 1977. 6: p. 434454.
  21. Vossepoel, A.M. and A.W.M. Smeulders, Vector code probabilities and metrication error in the representation of straight lines of finite length. Computer Graphics and Image Processing, 1982. 20: p. 347–364.
  22. Photometrics Ltd., Signal Processing and Noise, in Series 200 CCD Cameras Manual. 1990: Tucson, Arizona.

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2019-07-30

Issue

Volume 6, Issue 4, July-August-2019

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Priya Bansal, Mrs. Mamta, " Digital Image Processing Using Machine Learning, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 4, pp.125-128, July-August-2019. Available at doi : https://doi.org/10.32628/IJSRSET19649