Sammanfattning

We present two different extensions of the Sum of minimal distances and the Complement weighted sum of minimal distances to distances between fuzzy sets. We evaluate to what extent the proposed distances show monotonic behavior with respect to increasing translation and rotation of digital objects, in noise free, as well as in noisy conditions. Tests show that one of the extension approaches leads to distances exhibiting very good performance. Furthermore, we evaluate distance based classification of crisp and fuzzy representations of objects at a range of resolutions. We conclude that the proposed distances are able to utilize the additional information available in a fuzzy representation, thereby leading to improved performance of related image processing tasks.

Nyckelord

Fuzzy sets; set distance; registration; classification

Publicerad i

Lecture Notes in Computer Science
2011, Volym: 6636, sidor: 385-397
Titel: Combinatorial Image Analysis
ISBN: 978-3-642-21072-3
Utgivare: Springer-Verlag

Konferens

14th International Workshop on Combinatorial Image Analysis (IWCIA)

SLU författare

• Lindblad, Joakim

  • Centre for Image Analysis, Sveriges lantbruksuniversitet
    
  • Српска академија наука и уметности

UKÄ forskningsämne

Datavetenskap (datalogi)


Publikationens identifierare

DOI: https://doi.org/10.1007/978-3-642-21073-0_34

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/35982