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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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 http://journal.utem.edu.my/index.php/jtec/article/view/3580 |
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QA Mathematics QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering |
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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 |
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. |
format |
Article |
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 |
title |
A Hybrid Thermal-Visible Fusion for Outdoor Human Detection |
title_short |
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_sort |
hybrid thermal-visible fusion for outdoor human detection |
publisher |
Universiti Teknikal Malaysia |
publishDate |
2018 |
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 |
first_indexed |
2023-09-18T22:31:41Z |
last_indexed |
2023-09-18T22:31:41Z |
_version_ |
1777416328358920192 |