Publication result detail

A Fuzzy Approach to Thresholding of Image Data

HRUBEŠ, J.; KOZUMPLÍK, J.

Original Title

A Fuzzy Approach to Thresholding of Image Data

English Title

A Fuzzy Approach to Thresholding of Image Data

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

image thresholding, fuzzy entropy, genetic algorithm

Key words in English

image thresholding, fuzzy entropy, genetic algorithm

Authors

HRUBEŠ, J.; KOZUMPLÍK, J.

Released

01.05.2007

Publisher

FEKT, FIT, VUT v Brně

Location

Brno

ISBN

978-80-214-3410-3

Book

Proceedings of the 13th Conference Student EEICT 2007

Pages from

256

Pages count

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/"
}