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Measuring Perimeter and Area in Low Resolution Images Using a Fuzzy Approach

  • Nataša Sladoje
  • Ingela Nyström
  • Punam K. Saha
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

To overcome the problems of low quality of image segmentation, as well as significant loss of the data, it seems promising to retain the data inaccuracies as realistic as possible during the image analysis procedures, instead of making hard decisions in the segmentation phase. Such an approach initializes the interest for new image analysis methods, handling grey-level images. Our work on developing shape analysis methods for fuzzy segmented images has resulted in a theoretical foundation for estimators of quantitative properties of digitized objects with fuzzy borders. In this paper, we present results of perimeter, area, and compactness measure estimations obtained by applying a fuzzy approach to digitized objects in low resolution real images.

Keywords

Fuzzy shape representation boundary accuracy precision 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Nataša Sladoje
    • 1
  • Ingela Nyström
    • 1
  • Punam K. Saha
    • 2
  1. 1.Centre for Image AnalysisUppsalaSweden
  2. 2.Medical Image Processing Group, Department of RadiologyUniversity of PennsylvaniaPhiladelphiaUSA

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