Detail publikačního výsledku

Interest Points as a Focus Measure in Multi-Spectral Imaging

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

Originální název

Interest Points as a Focus Measure in Multi-Spectral Imaging

Anglický název

Interest Points as a Focus Measure in Multi-Spectral Imaging

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

A novel multi-spectral focus measure that is based on algorithms for interest point detection, particularly on the FAST (Features from Accelerated Segment Test), Fast Hessian and Harris-Laplace detector, is described in this paper. The proposed measure methods are compared with commonly used focus measure techniques like energy of image gradient, sum-modified Laplacian, Tenenbaum's algorithm or spatial frequency when testing their reliability and performance. The measures have been tested on a newly created database containing 420 images acquired in visible, near-infrared and thermal spectrum (7 objects in each spectrum). Algorithms based on the interest point detectors proved to be good focus measures satisfying all the requirements described in the paper, especially in thermal spectrum. It is shown that these algorithms outperformed all commonly used methods in thermal spectrum and therefore can serve as a new and more accurate focus measure.

Anglický abstrakt

A novel multi-spectral focus measure that is based on algorithms for interest point detection, particularly on the FAST (Features from Accelerated Segment Test), Fast Hessian and Harris-Laplace detector, is described in this paper. The proposed measure methods are compared with commonly used focus measure techniques like energy of image gradient, sum-modified Laplacian, Tenenbaum's algorithm or spatial frequency when testing their reliability and performance. The measures have been tested on a newly created database containing 420 images acquired in visible, near-infrared and thermal spectrum (7 objects in each spectrum). Algorithms based on the interest point detectors proved to be good focus measures satisfying all the requirements described in the paper, especially in thermal spectrum. It is shown that these algorithms outperformed all commonly used methods in thermal spectrum and therefore can serve as a new and more accurate focus measure.

Klíčová slova

Focus measure, interest points detector, multi-spectral imaging, gradient, Fast Hessian, Harris-Laplace detector

Klíčová slova v angličtině

Focus measure, interest points detector, multi-spectral imaging, gradient, Fast Hessian, Harris-Laplace detector

Autoři

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

Rok RIV

2014

Vydáno

01.04.2013

Místo

Brno

ISSN

1210-2512

Periodikum

Radioengineering

Svazek

2013

Číslo

1

Stát

Česká republika

Strany od

68

Strany do

81

Strany počet

14

BibTex

@article{BUT99720,
  author="Martin {Zukal} and Petr {Číka} and Jiří {Mekyska} and Zdeněk {Smékal}",
  title="Interest Points as a Focus Measure in Multi-Spectral Imaging",
  journal="Radioengineering",
  year="2013",
  volume="2013",
  number="1",
  pages="68--81",
  issn="1210-2512"
}