| Paper: | WP-P4.4 |
| Session: | Image and Video Storage and Retrieval IV |
| Time: | Wednesday, September 19, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
DETECTING CONTOUR SALIENCES USING TENSOR SCALE |
| Authors: |
Fernanda A. Andaló; State University of Campinas | | |
| | Paulo A. V. Miranda; State University of Campinas | | |
| | Ricardo da S. Torres; State University of Campinas | | |
| | Alexandre X. Falcão; State University of Campinas | | |
| Abstract: |
Tensor Scale is a morphometric parameter that unifies the representation of local structure thickness, orientation, and anisotropy, which can be used in several image processing tasks. This paper introduces a new application for tensor scale, which is the detection of saliences on a given contour, based on the tensor scale orientations computed for the entire object and mapped to its contour. For validation purposes, we present a shape descriptor that uses the detected contour saliences. Experimental results are provided, comparing the proposed method with our previous Contour Salience Descriptor (CS). We show that the proposed method can be not only faster and more robust in the detection of salience points than the CS method, but also more effective as a shape descriptor. |
