Name
Abstract | ||
|---|---|---|
In this paper we model the concept of ”coarseness”, typically used in texture image descriptions, by means of fuzzy sets. Specifically, we relate representative measures of this kind of texture with its presence degree. To obtain these ”presence degrees”, we collect assessments from polls filled by human subjects, performing an aggregation of these assessments by means of OWA operators. Using this collected data, and some statistics as reference set, the membership function corresponding to the fuzzy set ”coarseness” is modelled. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11893004_46 | KES (2) |
Keywords | Field | DocType |
fuzzy set,owa operator,texture image description,representative measure,membership function,human subject,reference set,presence degree,modelling coarseness,image features | Pattern recognition,Feature (computer vision),Measure (mathematics),Image texture,Computer science,Fuzzy set,Knowledge engineering,Operator (computer programming),Artificial intelligence,Membership function,Agrégation,Machine learning | Conference |
Volume | ISSN | ISBN |
4252 | 0302-9743 | 3-540-46537-5 |
Citations | PageRank | References |
2 | 0.44 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Chamorro-Martínez | 1 | 93 | 5.99 |
| E. Galan-Perales | 2 | 39 | 3.03 |
| Daniel Sánchez | 3 | 124 | 15.47 |
| J. M. Soto-Hidalgo | 4 | 33 | 2.49 |