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ZUKAL, M.; ČÍKA, P.; FU, D.
Originální název
Information Content of Blobs in Images
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
blob detector, Difference of Gaussians, Fast Hessian, information content, interest point detector
Klíčová slova v angličtině
Autoři
Rok RIV
2013
Vydáno
12.09.2012
ISBN
978-80-554-0569-8
Kniha
The 14th International Conference on Research in Telecommunication Technologies RTT - 2012
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" }