Name
Abstract | ||
|---|---|---|
In this paper a flexible retrieval system of shapes present in binary digital images is described: it allows customizing the retrieval function to evaluate weighted criteria constraining distinct shape characteristics of the objects in the images such as global features of contour (represented by the Fourier Coefficients), contour's irregularities (represented by the Multifractal Spectrum), presence of concavities-convexities (represented by the Contour Scale Space distribution). Further also the matching function comparing the representations of the shapes can be tuned to define a more or less strict interpretation of similarity. The evaluation experiments showed that this system can be suited to different retrieval purposes, and that generally the combination of the distinct shape indexing criteria increases both Recall and Precision with respect to the application of any single indexing criterion alone. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73400-0_47 | WILF |
Keywords | Field | DocType |
flexible system,distinct shape indexing criterion,flexible retrieval system,fourier coefficients,distinct shape characteristic,different retrieval purpose,single indexing criterion,binary images,multifractal spectrum,contour scale space distribution,matching function,retrieval function,digital image,binary image,scale space,indexation,fourier coefficient | Computer science,Binary image,Search engine indexing,Scale space,Digital image,Artificial intelligence,Binary number,Computer vision,Pattern recognition,Precision and recall,Fourier series,Multifractal system,Machine learning | Conference |
Volume | ISSN | Citations |
4578 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gloria Bordogna | 1 | 974 | 103.99 |
| Luca Ghilardi | 2 | 1 | 0.69 |
| Simone Milesi | 3 | 1 | 0.69 |
| Marco Pagani | 4 | 8 | 2.49 |