Detail publikačního výsledku

Automatic Optimal Thresholding of Image Data

HRUBEŠ, J.; KOZUMPLÍK, J.

Originální název

Automatic Optimal Thresholding of Image Data

Anglický název

Automatic Optimal Thresholding of Image Data

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper deals with automatic image thresholding based on fuzzy entropy definition. It is used to select the fuzzy region of membership function so that an image is able to be transformed into fuzzy domain with maximum fuzzy entropy. Then we are able to divide the fuzzy region and establish the thresholds. Genetic algorithm is used for selection of optimal membership function

Anglický abstrakt

This paper deals with automatic image thresholding based on fuzzy entropy definition. It is used to select the fuzzy region of membership function so that an image is able to be transformed into fuzzy domain with maximum fuzzy entropy. Then we are able to divide the fuzzy region and establish the thresholds. Genetic algorithm is used for selection of optimal membership function

Klíčová slova

image thresholding, fuzzy entropy, genetic algorithm

Klíčová slova v angličtině

image thresholding, fuzzy entropy, genetic algorithm

Autoři

HRUBEŠ, J.; KOZUMPLÍK, J.

Vydáno

24.04.2007

Nakladatel

Brno University of technology

Místo

Brno

ISBN

978-80-214-3390-8

Kniha

Proceedings of 17th International Conference Radioelektronika 2007

Strany od

125

Strany počet

4

URL

http://www.radioelektronika.cz

BibTex

@inproceedings{BUT22534,
  author="Jan {Hrubeš} and Jiří {Kozumplík}",
  title="Automatic Optimal Thresholding of Image Data",
  booktitle="Proceedings of 17th International Conference Radioelektronika 2007",
  year="2007",
  pages="4",
  publisher="Brno University of technology",
  address="Brno",
  isbn="978-80-214-3390-8",
  url="http://www.radioelektronika.cz"
}