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Index of area coverage of fuzzy image subsets and object extraction

Authors
Journal
Pattern Recognition Letters
0167-8655
Publisher
Elsevier
Publication Date
Volume
11
Issue
12
Identifiers
DOI: 10.1016/0167-8655(90)90036-2
Keywords
  • Image Segmentation
  • Fuzzy Geometry
  • Index Of Area Coverage
  • Compactness
Disciplines
  • Computer Science
  • Mathematics

Abstract

Abstract Some new geometrical properties, e.g., length, breadth and index of area coverage (IOAC) of a fuzzy set along with their computational aspects are introduced. An algorithm for providing both fuzzy and nonfuzzy segmentation based on these measures is also proposed. The proposed algorithm is found to be successful even for the input images containing multiple objects or an elongated object, where the existing fuzzy compactness based algorithm (which is valid for extracting a single compact object) fails. This is illustrated on various images.

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