Name
Abstract | ||
|---|---|---|
This paper introduces a family of rectangularity measures. Several rectangularity measures already exist in literature, and all of them evaluate how much the shape considered differs from a perfect rectangle. But all existing measures assume that all rectangles have the same shape, and a consequence is that these measures do not distinguish among the rectangles whose edge-ration differs. In this paper we consider that differently elongated rectangles have different shape and propose a family of new rectangularity measures which distinguish among such rectangles. New rectangularity measures are invariant with respect to translation, rotation and scaling transformations. In addition, we introduce a tuning parameter which enables an additional flexibility of the new measures with respect to performing applications. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISSPIT.2011.6151590 | Signal Processing and Information Technology |
Keywords | Field | DocType |
additional flexibility,new measure,perfect rectangle,tuning parameter,elongated rectangle,shape rectangularity,different shape,existing measure,new rectangularity measure,rectangularity measure,image processing,shape,tuning,image retrieval,edge detection,computational geometry | Computer vision,Pattern recognition,Computer science,Edge detection,Computational geometry,Rectangle,Image retrieval,Image processing,Invariant (mathematics),Artificial intelligence,Scaling | Conference |
ISSN | ISBN | Citations |
2162-7843 | 978-1-4673-0751-2 | 1 |
PageRank | References | Authors |
0.35 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Martinez-Ortiz | 1 | 25 | 6.54 |
| Dragisa Zunic | 2 | 7 | 1.79 |
| Jovisa Zunic | 3 | 491 | 41.40 |