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Postprocessing of Thresholded Images to Maximize Edge Coincidence

✍ Scribed by Lois Hertz; Ronald W. Schafer

Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
821 KB
Volume
6
Category
Article
ISSN
1047-3203

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✦ Synopsis

In many image processing applications, multilevel thresholding is a useful method for obtaining a simplified image that preserves the geometric structures and spatial relationships found in the original grayscale image. One way to ensure that they have been preserved is to ensure that the edges of the original image are maintained in the thresholded image. This paper presents a new method for adjusting the value of each global threshold to maximize the coincidence of the edges of the original and thresholded images. This paper also discusses two new methods to improve the quality of images after thresholding. The result of these algorithms is a final thresholded image that is a very good representation of the properties of the original scene. O 1995 Academic Press, Inc.

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