Tensor Scale

Shape feature extraction and description

Publications
Unicamp CNPq 2005-2010
Part of this project was developed during my M.Sc.
1st place Workshop of Theses and Dissertations at SIBGRAPI 2018

Tensor scale is a morphometric parameter that unifies the representation of local structure thickness, orientation, and anisotropy, which can be used in several computer vision and image processing tasks. In this project, we exploit this concept for feature extraction and description in binary images. It also introduces a robust method to compute tensor scale, using a graph-based approach.

Shape analysis Image processing Tensor Scale Image Foresting Transform Shape description Shape salience Content-based image retrieval

Publications

Shape feature extraction and description based on tensor scale

Pattern Recognition (PR) 2010
DOI PDF BibTeX Project Tensor Scale
Shape feature extraction and description based on tensor scale

Shape descriptors based on tensor scale

Workshop of Theses and Dissertations, Brazilian Symposium on Computer Graphics and Image Processing (WTD/SIBGRAPI) 2008
PDF BibTeX 1st place Project Tensor Scale

A new shape descriptor based on tensor scale

International Symposium on Mathematical Morphology (ISMM) 2007
PDF BibTeX Project Tensor Scale
A new shape descriptor based on tensor scale

Detecting contour saliences using tensor scale

IEEE International Conference on Image Processing (ICIP) 2007
DOI PDF BibTeX Project Tensor Scale
Detecting contour saliences using tensor scale

Descritores de forma baseados em tensor scale

Institute of Computing, University of Campinas (IC-UNICAMP) 2007
PDF BibTeX Project Tensor Scale
Descritores de forma baseados em tensor scale