Detail publikačního výsledku

Using Fuzzy Entropy Thresholding Method for Segmentation of Infrared Images

ŘÍHA, K.; CHEN, P.; FU, D.

Originální název

Using Fuzzy Entropy Thresholding Method for Segmentation of Infrared Images

Anglický název

Using Fuzzy Entropy Thresholding Method for Segmentation of Infrared Images

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

In this paper, an adaptive thresholding method based on the fuzzy entropy classification algorithm is proposed. The purpose of this work is to segment an infrared image more effectively. The theoretical basis of the fuzzy entropy algorithm is contained in this article, with an improved method of that algorithm carefully described. The method is then applied to a NIR image to detect the veins of a hand. The final result is demonstrated in the end of this paper.

Anglický abstrakt

In this paper, an adaptive thresholding method based on the fuzzy entropy classification algorithm is proposed. The purpose of this work is to segment an infrared image more effectively. The theoretical basis of the fuzzy entropy algorithm is contained in this article, with an improved method of that algorithm carefully described. The method is then applied to a NIR image to detect the veins of a hand. The final result is demonstrated in the end of this paper.

Klíčová slova

Fuzzy Entropy, Image Processing, Near-Infra-Red Light Band

Klíčová slova v angličtině

Fuzzy Entropy, Image Processing, Near-Infra-Red Light Band

Autoři

ŘÍHA, K.; CHEN, P.; FU, D.

Rok RIV

2010

Vydáno

01.06.2008

Nakladatel

GESTS

ISSN

1738-6438

Periodikum

International Transaction on Computer Science and Engineering

Svazek

47

Číslo

1

Stát

Korejská republika

Strany od

130

Strany do

140

Strany počet

11

BibTex

@article{BUT47986,
  author="Kamil {Říha} and Peng {Chen} and Dongmei {Fu}",
  title="Using Fuzzy Entropy Thresholding Method for Segmentation of Infrared Images",
  journal="International Transaction on Computer Science and Engineering",
  year="2008",
  volume="47",
  number="1",
  pages="130--140",
  issn="1738-6438"
}