Detail publikace

Information Content of Blobs in Images

ZUKAL, M. ČÍKA, P. FU, D.

Originální název

Information Content of Blobs in Images

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with the comparison of information content of interest points in images detected with different blob detectors. Specifically, the Hessian, Hessian-Laplace, Fast Hessian and Difference of Gaussian detectors are compared. We have performed the measurement on five image collections each containing images of one category. The tested categories are namely: houses, cars, nature, portraits and interior images. Each collection contains one hundred greyscale images. We have compared the information content of the interest points and randomly selected points and observed that the interest points convey more information than the randomly distributed points. The Fast Hessian detector and Difference of Gaussians detector perform best and entropy of points detected by these algorithms reaches 5 Shannons.

Klíčová slova

blob detector, Difference of Gaussians, Fast Hessian, information content, interest point detector

Autoři

ZUKAL, M.; ČÍKA, P.; FU, D.

Rok RIV

2012

Vydáno

12. 9. 2012

ISBN

978-80-554-0569-8

Kniha

The 14th International Conference on Research in Telecommunication Technologies RTT - 2012

Číslo edice

1

Strany od

221

Strany do

224

Strany počet

4

BibTex

@inproceedings{BUT94627,
  author="Martin {Zukal} and Petr {Číka} and Dongmei {Fu}",
  title="Information Content of Blobs in Images",
  booktitle="The 14th International Conference on Research in Telecommunication Technologies RTT - 2012",
  year="2012",
  number="1",
  pages="221--224",
  isbn="978-80-554-0569-8"
}