A Hybrid Thermal-Visible Fusion for Outdoor Human Detection

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 re...

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Main Authors: Ezrinda, Mohd Zahidee, Kamarul Hawari, Ghazali, Ren, Jinchang, Mohd Zuki, Salleh
Format: Article
Language:English
Published: Universiti Teknikal Malaysia 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/21565/
http://umpir.ump.edu.my/id/eprint/21565/1/JTEC.pdf
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author Ezrinda, Mohd Zahidee
Kamarul Hawari, Ghazali
Ren, Jinchang
Mohd Zuki, Salleh
author_facet Ezrinda, Mohd Zahidee
Kamarul Hawari, Ghazali
Ren, Jinchang
Mohd Zuki, Salleh
author_sort Ezrinda, Mohd Zahidee
building UMP Institutional Repository
collection Online Access
description 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.
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format Article
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institution Universiti Malaysia Pahang
institution_category Local University
language English
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publishDate 2018
publisher Universiti Teknikal Malaysia
recordtype eprints
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spelling ump-215652018-07-12T01:58:20Z http://umpir.ump.edu.my/id/eprint/21565/ A Hybrid Thermal-Visible Fusion for Outdoor Human Detection Ezrinda, Mohd Zahidee Kamarul Hawari, Ghazali Ren, Jinchang Mohd Zuki, Salleh QA Mathematics QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering 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. Universiti Teknikal Malaysia 2018 Article PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/21565/1/JTEC.pdf Ezrinda, Mohd Zahidee and Kamarul Hawari, Ghazali and Ren, Jinchang and Mohd Zuki, Salleh (2018) A Hybrid Thermal-Visible Fusion for Outdoor Human Detection. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-4). pp. 79-83. ISSN 2289-8131. (Published) http://journal.utem.edu.my/index.php/jtec/article/view/3580
spellingShingle QA Mathematics
QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
Ezrinda, Mohd Zahidee
Kamarul Hawari, Ghazali
Ren, Jinchang
Mohd Zuki, Salleh
A Hybrid Thermal-Visible Fusion for Outdoor Human Detection
title A Hybrid Thermal-Visible Fusion for Outdoor Human Detection
title_full A Hybrid Thermal-Visible Fusion for Outdoor Human Detection
title_fullStr A Hybrid Thermal-Visible Fusion for Outdoor Human Detection
title_full_unstemmed A Hybrid Thermal-Visible Fusion for Outdoor Human Detection
title_short A Hybrid Thermal-Visible Fusion for Outdoor Human Detection
title_sort hybrid thermal-visible fusion for outdoor human detection
topic QA Mathematics
QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/21565/
http://umpir.ump.edu.my/id/eprint/21565/
http://umpir.ump.edu.my/id/eprint/21565/1/JTEC.pdf