Publication detail

On the focusing of thermal images

FAÚNDEZ ZANUY, M. MEKYSKA, J. ESPINOSA-DURÓ, V.

Original Title

On the focusing of thermal images

English Title

On the focusing of thermal images

Type

journal article - other

Language

en

Original Abstract

In this paper we present a new thermographic image database, suitable for the analysis of automatic focusing measures. This database contains the images of 10 scenes, each of which is represented once for each of 96 different focus positions. Using this database, we evaluate the usefulness of five focus measures with the goal of determining the optimal focus position. Experimental results reveal that the accurate automatic detection of optimal focus position can be achieved with a low computational burden. We also present an acquisition tool for obtaining thermal images. To the best of our knowledge, this is the first study on the automatic focusing of thermal images.

English abstract

In this paper we present a new thermographic image database, suitable for the analysis of automatic focusing measures. This database contains the images of 10 scenes, each of which is represented once for each of 96 different focus positions. Using this database, we evaluate the usefulness of five focus measures with the goal of determining the optimal focus position. Experimental results reveal that the accurate automatic detection of optimal focus position can be achieved with a low computational burden. We also present an acquisition tool for obtaining thermal images. To the best of our knowledge, this is the first study on the automatic focusing of thermal images.

Keywords

thermal image, focus, database, image quality

RIV year

2011

Released

01.08.2011

Publisher

Pattern Recognition Letters

Pages from

1548

Pages to

1557

Pages count

10

BibTex


@article{BUT74457,
  author="Marcos {Faúndez Zanuy} and Jiří {Mekyska} and Virginia {Espinosa-Duró}",
  title="On the focusing of thermal images",
  annote="In this paper we present a new thermographic image database, suitable for the analysis of automatic focusing measures. This database contains the images of 10 scenes, each of which is represented once for each of 96 different focus positions. Using this database, we evaluate the usefulness of five focus measures with the goal of determining the optimal focus position. Experimental results reveal that the accurate automatic detection of optimal focus position can be achieved with a low computational burden. We also present an acquisition tool for obtaining thermal images. To the best of our knowledge, this is the first study on the automatic focusing of thermal images.",
  address="Pattern Recognition Letters",
  chapter="74457",
  institution="Pattern Recognition Letters",
  journal="PATTERN RECOGNITION LETTERS",
  number="11",
  volume="32",
  year="2011",
  month="august",
  pages="1548--1557",
  publisher="Pattern Recognition Letters",
  type="journal article - other"
}