Abstract
In this chapter we will apply neighborhood operations to analyze two elementary structures: the mean gray value and changes in the gray values. The determination of a correct mean value also includes the suppression of distortions in the gray values caused by sensor noise or transmission errors. Changes in the gray value mean, in the simplest case, the edges of objects. Thus edge detection and smoothing are complementary operations. While smoothing gives adequate averages for the gray values within the objects, edge detection aims at estimating the boundaries of objects.
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© 1993 Springer-Verlag Berlin Heidelberg
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Jähne, B. (1993). Mean and Edges. In: Digital Image Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-21817-4_6
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DOI: https://doi.org/10.1007/978-3-662-21817-4_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-56941-1
Online ISBN: 978-3-662-21817-4
eBook Packages: Springer Book Archive