Abstract
There are two major types of gray scale image processing: within class transformations, such as filtering and image enhancement, and class 1 image to class 2 image transforms, such as segmentation. Most methods for performing such processing use, directly or indirectly, statistics computed on images. We shall discuss two of them, the histogram of distribution of gray levels (in Section 3.2), and the cooccurrence matrix of pairs of gray levels at pixel pairs (in Section 3.3). Their applications in filtering are discussed in Sections 3.4 and 3.5, while their use for segmentation is presented in the next chapter.
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Relevant Literature
Abramatic, J. F. and Silverman, L. M. “Non-Stationary Linear Restoration of Noisy Images,” Proc. 18 th IEEE Decision and Control Conference, vol. 1, (December 1979), pp. 92–99.
Haralick, R. M. “Statistical and Structural Approaches to Texture,” Proc. Fourth Intern. Joint Conf. on Pattern Recognition, (November 1978), pp. 45–69.
Julesz, B. Foundations of Cyclopean Perception, Chicago: University of Chicago Press, 1971.
Julesz, B., “Experiments in the visual perception of texture,” Scientific American, 232 (1975), pp. 34–43.
Nagao, M. and Matsuyama, T. “Edge Preserving Smoothing,” Proc. Fourth Intern. Joint Conf. on Pattern Recognition, (November 1978), pp. 518–520.
Oppenheim, A. V. and Schafer, R. W. Digital Signal Processing, Englewood Cliffs, New Jersey: Prentice-Hall, 1975.
Pavlidis, T. Structural Pattern Recognition, Berlin, Heidelberg, New York: Springer Verlag, 1977.
Steiglitz, K. An Introduction to Discrete Systems, New York: J. Wiley, 1974.
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© 1982 Computer Science Press, Inc.
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Pavlidis, T. (1982). Processing of Gray Scale Images. In: Algorithms for Graphics and Image Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93208-3_3
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DOI: https://doi.org/10.1007/978-3-642-93208-3_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-93210-6
Online ISBN: 978-3-642-93208-3
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