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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

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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

  • eBook Packages: Springer Book Archive

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