Publication detail

Interest Points as a Focus Measure in Multi-Spectral Imaging

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

Original Title

Interest Points as a Focus Measure in Multi-Spectral Imaging

English Title

Interest Points as a Focus Measure in Multi-Spectral Imaging

Type

journal article - other

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

RIV year

2013

Released

01.04.2013

Location

Brno

Pages from

68

Pages to

81

Pages count

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",
  annote="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.",
  chapter="99720",
  howpublished="electronic, physical medium",
  number="1",
  volume="2013",
  year="2013",
  month="april",
  pages="68--81",
  type="journal article - other"
}