Publication detail

Interest Points as a Focus Measure

MEKYSKA, J. ZUKAL, M. ČÍKA, P. SMÉKAL, Z.

Original Title

Interest Points as a Focus Measure

English Title

Interest Points as a Focus Measure

Type

conference paper

Language

en

Original Abstract

In this paper, we propose a novel focus measure that is based on algorithms for interest point detection, particularly on the Fast Hessian detector. The proposed measure is compared with the energy of image gradient and sum-modified Laplacian that are commonly used as focus measures to test its reliability and performance. The measures have been tested on a newly created database containing 84 images (12 images for seven objects). Our algorithm proved to be a good focus measure satisfying all the requirements described in the paper, in some cases it outperformed the other two measures.

English abstract

In this paper, we propose a novel focus measure that is based on algorithms for interest point detection, particularly on the Fast Hessian detector. The proposed measure is compared with the energy of image gradient and sum-modified Laplacian that are commonly used as focus measures to test its reliability and performance. The measures have been tested on a newly created database containing 84 images (12 images for seven objects). Our algorithm proved to be a good focus measure satisfying all the requirements described in the paper, in some cases it outperformed the other two measures.

Keywords

Energy of image gradient, Fast Hessian, focus measure, interest points detector, sum-modified Laplacian

RIV year

2012

Released

03.07.2012

ISBN

978-1-4673-1118-2

Book

Telecommunications and Signal Processing (TSP), 2012 35th International Conference on

Pages from

774

Pages to

778

Pages count

5

BibTex


@inproceedings{BUT94968,
  author="Jiří {Mekyska} and Martin {Zukal} and Petr {Číka} and Zdeněk {Smékal}",
  title="Interest Points as a Focus Measure",
  annote="In this paper, we propose a novel focus measure that is based on algorithms for interest point detection, particularly on the Fast Hessian detector. The proposed measure is compared with the energy of image gradient and sum-modified Laplacian that are commonly used as focus measures to test its reliability and performance. The measures have been tested on a newly created database containing 84 images (12 images for seven objects). Our algorithm proved to be a good focus measure satisfying all the requirements described in the paper, in some cases it outperformed the other two measures.",
  booktitle="Telecommunications and Signal Processing (TSP), 2012 35th International Conference on",
  chapter="94968",
  howpublished="print",
  year="2012",
  month="july",
  pages="774--778",
  type="conference paper"
}