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
Documents
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"
}