Two-Step Method for Assessing Similarity of Random Sets

Authors

  • Vesna Gotovac Đogaš University of Split
  • Kateřina Helisová Czech Technical University in Prague
  • Bogdan Radović Czech Technical University in Prague
  • Jakub Staněk Charles University
  • Markéta Zikmundová University of Chemistry and Technology Prague
  • Kateřina Brejchová Czech Technical University in Prague

DOI:

https://doi.org/10.5566/ias.2600

Keywords:

connected component, curvature, similarity, $N$-distance, random set

Abstract

The paper concerns a new statistical method for assessing dissimilarity of two random sets based on one realisation of each of them. The method focuses on shapes of the components of the random sets, namely on the curvature of their boundaries together with the ratios of their perimeters and areas. Theoretical background is introduced and then, the method is described, justified by a simulation study and applied to real data of two different types of tissue - mammary cancer and mastopathy.

References

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Published

2021-12-15

Issue

Section

Original Research Paper

How to Cite

Gotovac Đogaš, V., Helisová, K., Radović, B., Staněk, J., Zikmundová, M., & Brejchová, K. (2021). Two-Step Method for Assessing Similarity of Random Sets. Image Analysis and Stereology, 40(3), 127-140. https://doi.org/10.5566/ias.2600