Soft image segmentation by weighted linked pyramid

  • Prewer D
  • Kitchen L
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Abstract

This paper introduces the notion of softsegmentation and the use of a weightedlinkedpyramid algorithm to compute it. A fundamental problem of region segmentation is that for many images no unique, correct region boundaries can be determined. In this situation, the normal desire for a definitive crisp segmentation may be unreasonable. It is proposed that softsegmentation is a more natural way to segment digital image data than crisp segmentation. One method of deriving a softsegmentation from a weightedlinkedpyramid is shown. We introduce methods for comparing a softsegmentation with a crisp one and show that in some ways the softsegmentation is better.

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APA

Prewer, D., & Kitchen, L. (2001). Soft image segmentation by weighted linked pyramid. Pattern Recognition Letters, 22(2), 123–132. https://doi.org/10.1016/S0167-8655(00)00063-5

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