A hybrid thermal-visible fusion for outdoor human detection

Ezrinda Mohd Zaihidee, Kamarul Hawari Ghazali, Jinchang Ren, Mohd Zuki Salleh

Research output: Contribution to journalArticle

4 Citations (Scopus)
16 Downloads (Pure)

Abstract

Multisensory image fusion can be used to improve the visual interpretability of an image for further processing task. A hybrid thermal-visible image fusion is proposed in this paper to detect the target and produce an output image that had all the information from both sensors. The thermal target region was extracted using Niblack algorithm and some morphological operators. Then, the source images were decomposed at pixel level using Stationary Wavelet Transform (SWT). The appropriate fusion rule were chosen for low and high frequency components and finally the fused image was obtained from inverse SWT. Results show that the proposed method achieve better to include figure of merit than the other three methods.
Original languageEnglish
Pages (from-to)79-83
Number of pages5
JournalJournal of Telecommunication, Electronic and Computer Engineering
Volume10
Issue number1-4
Publication statusPublished - 26 Mar 2018

Fingerprint

Image fusion
Wavelet transforms
Inverse transforms
Mathematical operators
Pixels
Sensors
Processing
Hot Temperature

Keywords

  • multisensory image fusion
  • thermal-visible image
  • Niblack algorithm
  • stationary wavelet transform

Cite this

Zaihidee, Ezrinda Mohd ; Ghazali, Kamarul Hawari ; Ren, Jinchang ; Salleh, Mohd Zuki. / A hybrid thermal-visible fusion for outdoor human detection. In: Journal of Telecommunication, Electronic and Computer Engineering. 2018 ; Vol. 10, No. 1-4. pp. 79-83.
@article{c8e02a33a421472e85759d4638f539c0,
title = "A hybrid thermal-visible fusion for outdoor human detection",
abstract = "Multisensory image fusion can be used to improve the visual interpretability of an image for further processing task. A hybrid thermal-visible image fusion is proposed in this paper to detect the target and produce an output image that had all the information from both sensors. The thermal target region was extracted using Niblack algorithm and some morphological operators. Then, the source images were decomposed at pixel level using Stationary Wavelet Transform (SWT). The appropriate fusion rule were chosen for low and high frequency components and finally the fused image was obtained from inverse SWT. Results show that the proposed method achieve better to include figure of merit than the other three methods.",
keywords = "multisensory image fusion, thermal-visible image, Niblack algorithm, stationary wavelet transform",
author = "Zaihidee, {Ezrinda Mohd} and Ghazali, {Kamarul Hawari} and Jinchang Ren and Salleh, {Mohd Zuki}",
year = "2018",
month = "3",
day = "26",
language = "English",
volume = "10",
pages = "79--83",
journal = "Journal of Telecommunication, Electronic and Computer Engineering",
issn = "2180-1843",
number = "1-4",

}

A hybrid thermal-visible fusion for outdoor human detection. / Zaihidee, Ezrinda Mohd; Ghazali, Kamarul Hawari; Ren, Jinchang; Salleh, Mohd Zuki.

In: Journal of Telecommunication, Electronic and Computer Engineering, Vol. 10, No. 1-4, 26.03.2018, p. 79-83.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A hybrid thermal-visible fusion for outdoor human detection

AU - Zaihidee, Ezrinda Mohd

AU - Ghazali, Kamarul Hawari

AU - Ren, Jinchang

AU - Salleh, Mohd Zuki

PY - 2018/3/26

Y1 - 2018/3/26

N2 - Multisensory image fusion can be used to improve the visual interpretability of an image for further processing task. A hybrid thermal-visible image fusion is proposed in this paper to detect the target and produce an output image that had all the information from both sensors. The thermal target region was extracted using Niblack algorithm and some morphological operators. Then, the source images were decomposed at pixel level using Stationary Wavelet Transform (SWT). The appropriate fusion rule were chosen for low and high frequency components and finally the fused image was obtained from inverse SWT. Results show that the proposed method achieve better to include figure of merit than the other three methods.

AB - Multisensory image fusion can be used to improve the visual interpretability of an image for further processing task. A hybrid thermal-visible image fusion is proposed in this paper to detect the target and produce an output image that had all the information from both sensors. The thermal target region was extracted using Niblack algorithm and some morphological operators. Then, the source images were decomposed at pixel level using Stationary Wavelet Transform (SWT). The appropriate fusion rule were chosen for low and high frequency components and finally the fused image was obtained from inverse SWT. Results show that the proposed method achieve better to include figure of merit than the other three methods.

KW - multisensory image fusion

KW - thermal-visible image

KW - Niblack algorithm

KW - stationary wavelet transform

UR - http://journal.utem.edu.my/index.php/jtec/article/view/3580

M3 - Article

VL - 10

SP - 79

EP - 83

JO - Journal of Telecommunication, Electronic and Computer Engineering

JF - Journal of Telecommunication, Electronic and Computer Engineering

SN - 2180-1843

IS - 1-4

ER -