| Full text | |
| Author(s): |
da S Torres‚ R.
;
Falcao‚ AX
;
da F Costa‚ L.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | PATTERN RECOGNITION; v. 37, n. 6, p. 1163-1174, 2004. |
| Abstract | |
This paper presents two shape descriptors, multiscale fractal dimension and contour saliences, using a graph-based approach-the image foresting transform. It introduces a robust approach to locate contour saliences from the relation between contour and skeleton. The contour salience descriptor consists of a vector, with salience location and value along the contour, and a matching algorithm. We compare both descriptors with fractal dimension, Fourier descriptors, moment invariants, Curvature Scale Space and Beam Angle Statistics regarding to their invariance to object characteristics that belong to a same class (compact-ability) and to their ability to separate objects of distinct classes (separability). (C) 2003 Published by Elsevier Ltd on behalf of Pattern Recognition Society. (AU) | |
| FAPESP's process: | 99/12765-2 - Development and assessment of novel and accurate methods in shape analysis and computer vision |
| Grantee: | Luciano da Fontoura Costa |
| Support Opportunities: | Research Projects - Thematic Grants |