A new shape descriptor based on tensor scale

8th International Symposium on Mathematical Morphology (ISMM), Rio de Janeiro, RJ, Brazil, 2007

Abstract

Tensor scale is a morphometric parameter that unifies the repre-sentation of local structure thickness, orientation, and anisotropy, which can be used in several computer vision and image process-ing tasks. In this paper, we exploit this concept for binary images and propose a shape descriptor that encodes region and contour properties in a very efficient way. Experimental results are pro-vided, showing the effectiveness of the proposed descriptor, when compared to other relevant shape descriptors, with regard to their use in content-based image retrieval systems.

BibTeX

@inproceedings{andalo07ismm,
    authors      = “Fernanda A. Andal{\‘o} and Paulo A. V. Miranda and Ricardo da S. Torres and Alexandre X. Falc{~a}o”,
    title        = “A new shape descriptor based on tensor scale”,
    booktitle    = “8th International Symposium on Mathematical Morphology ({ISMM})”,
    pages        = “141–152”,
    year         = 2007,
    address      = “Rio de Janeiro, RJ, Brazil”,
}