Name
Abstract | ||
|---|---|---|
A computational approach for comparing qualitative shape descriptions (QSDs) of objects within digital images is presented. First, the dissimilarity of qualitative features of shape is measured: (i) intuitively using conceptual neighborhood diagrams; and (ii) mathematically using interval distances. Then, a similarity measure between QSDs is defined and tested using images of different categories of the MPEG-7-CE-Shape-1 library, images of tiles used to build mosaics, and a collection of Clipart images. The results obtained show the effectiveness of the similarity measure defined, which is invariant to translations, rotations and scaling, and which implicitly manages deformation of shape parts and incompleteness. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1080/13875868.2012.700463 | SPATIAL COGNITION AND COMPUTATION |
Keywords | Field | DocType |
qualitative representation,shape,conceptual neighborhood diagrams,interval distance,similarity measure | Discrete mathematics,Computer vision,Similarity measure,Pattern recognition,Computer science,Digital image,Artificial intelligence,Invariant (mathematics),Scaling | Journal |
Volume | Issue | ISSN |
13.0 | 3 | 1387-5868 |
Citations | PageRank | References |
2 | 0.37 | 27 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zoe Falomir | 1 | 119 | 24.98 |
| Luis Gonzalez-Abril | 2 | 102 | 20.14 |
| Lledó Museros Cabedo | 3 | 54 | 10.73 |
| Juan Antonio Ortega Redondo | 4 | 208 | 29.56 |