Detail publikace

An Ensemble Template Algorithm for Extracting Targets from Blurred Infrared Images

FU, D. YU, X. TONG, H. ŘÍHA, K.

Originální název

An Ensemble Template Algorithm for Extracting Targets from Blurred Infrared Images

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

In this paper, an ensemble template algorithm is proposed to extract targets from blurred infrared images. First, the image pixels are divided according to their grey values into three pixel sets, a target set, a background set and the third set without class label. Second, the neighbourhood statistical characteristics for each pixel are calculated as its template features. Third, ensemble detectors are designed using target pixels and background pixels based on their template features, and these ensemble detectors are used to detect the third pixel set. To evaluate the performance of the proposed extraction algorithm, this paper compares the ensemble template with other extraction algorithms using blurred infrared image of hand trace. Experimental results show that the ensemble template algorithm proposed in this paper exhibits better extraction performance.

Klíčová slova

Target extraction, Blurred infrared image, Ensemble template, Statistical characteristics

Autoři

FU, D.; YU, X.; TONG, H.; ŘÍHA, K.

Rok RIV

2014

Vydáno

1. 2. 2014

Nakladatel

Elsevier GmbH

ISSN

0030-4026

Periodikum

OPTIK

Ročník

125

Číslo

3

Stát

Spolková republika Německo

Strany od

954

Strany do

957

Strany počet

4

BibTex

@article{BUT104404,
  author="Dongmei {Fu} and Xiao {Yu} and Hejun {Tong} and Kamil {Říha}",
  title="An Ensemble Template Algorithm for Extracting Targets from Blurred Infrared Images",
  journal="OPTIK",
  year="2014",
  volume="125",
  number="3",
  pages="954--957",
  doi="10.1016/j.ijleo.2013.07.130",
  issn="0030-4026"
}