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Simple Neighborhoods

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Digital Image Processing
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Abstract

In the last two chapters we became acquainted with neighborhood operations for performing averaging and detecting edges. In fact, we only studied the very simplest structures in a local neighborhood: constant areas and discontinuities. However, a local neighborhood could also contain patterns. In this chapter, we discuss the simplest class of such patterns, which we will call simple neighborhoods. As an introduction, we examine what types of simple patterns can be used to make an object distinguishable from a background for the human visual system.

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© 2002 Springer-Verlag Berlin Heidelberg

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Jähne, B. (2002). Simple Neighborhoods. In: Digital Image Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04781-1_13

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  • DOI: https://doi.org/10.1007/978-3-662-04781-1_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-04783-5

  • Online ISBN: 978-3-662-04781-1

  • eBook Packages: Springer Book Archive

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