Detail publikace

A Fuzzy Approach to Thresholding of Image Data

HRUBEŠ, J. KOZUMPLÍK, J.

Originální název

A Fuzzy Approach to Thresholding of Image Data

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper is concerned with fuzzy entropy definition used for automatic image thresholding. The fuzzy entropy is applied in selection of the fuzzy region of membership function so that an image is able to be transformed into fuzzy domain with maximum 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

Autoři

HRUBEŠ, J.; KOZUMPLÍK, J.

Rok RIV

2007

Vydáno

1. 5. 2007

Nakladatel

FEKT, FIT, VUT v Brně

Místo

Brno

ISBN

978-80-214-3410-3

Kniha

Proceedings of the 13th Conference Student EEICT 2007

Číslo edice

první

Strany od

256

Strany do

260

Strany počet

5

URL

http://www.feec.vutbr.cz/EEICT/

BibTex

@inproceedings{BUT22531,
  author="Jan {Hrubeš} and Jiří {Kozumplík}",
  title="A Fuzzy Approach to Thresholding of Image Data",
  booktitle="Proceedings of the 13th Conference Student EEICT 2007",
  year="2007",
  number="první",
  pages="5",
  publisher="FEKT, FIT, VUT v Brně",
  address="Brno",
  isbn="978-80-214-3410-3",
  url="http://www.feec.vutbr.cz/EEICT/"
}