Applied Image Processing pp 90-125 | Cite as
Image Preprocessing
Chapter
Abstract
Image preprocessing seeks to modify and prepare the pixel values of a digitised image to produce a form that is more suitable for subsequent operations within the generic model. There are two major branches of image preprocessing, namely image enhancement and image restoration.
Preview
Unable to display preview. Download preview PDF.
References
- 1.M. L. Mead and C. Dillon, Signals and Systems, Van Nostrand, Wokineham. 1986.Google Scholar
- 2.P. A. Lynn, Electronic Signals and Systems, Macmillan, London, 1986.Google Scholar
- 3.H. Baher, Analog and Digital Signal Processing, Wiley, Chichester, 1990.Google Scholar
- 4.C. S. Burrus and T. W. Parks, DFT/FFT and Convolution Algorithms, Wiley, Chichester, 1985.Google Scholar
- 5.R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd edn, Addison-Wesley, London, 1992.Google Scholar
- 6.N. Storey, Electronics — A Systems Approach, Addison-Wesley, London, 1992.Google Scholar
- 7.W. Niblack, Digital Image Processing, Prentice-Hall, Englewood Cliffs, New Jersev, 1986.Google Scholar
- 8.B. Batchelor and F. Waltz, Interactive Image Processing for Machine Vision, Springer-Verlag, London, 1993.CrossRefGoogle Scholar
- 9.T. Fountain, Processor Arrays — Architectures and Applications, Academic Press, New York, 1987.Google Scholar
- 10.R. J. Schalkoff, Digital Image Processing and Computer Vision, Wiley, Chichester, 1989.Google Scholar
- 11.E. R. Davies, Machine Vision: Theory, Algorithms, Practicalities, Academic Press, New York, 1990.Google Scholar
- 12.I. E. Abdou and W. K. Pratt, ‘Quantitative design and evaluation of enhancement/thresholding edge detectors’, Proc. IEEE, 67, pp. 753–763, 1979.CrossRefGoogle Scholar
- 13.R. A. Schowengerdt, Techniques for Image Processing and Classification in Remote Sensing, Academic Press, New York, 1983.Google Scholar
Copyright information
© G.J. Awcock and R. Thomas 1995