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-179072018-01-09T01:13:44Z http://umpir.ump.edu.my/id/eprint/17907/ A Hybrid Thermal-visible Fusion for Outdoor Human Detection Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Ren, Jinchang Mohd Zuki, Salleh 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. 2017 Conference or Workshop Item NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17907/1/fkee-2017-ezrinda-Hybrid%20Thermal-visible%20Fusion%20for%20Outdoor1.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17907/2/JTEC_maltesas_ezrinda_final.pdf Ezrinda, Mohd Zaihidee and Kamarul Hawari, Ghazali and Ren, Jinchang and Mohd Zuki, Salleh (2017) A Hybrid Thermal-visible Fusion for Outdoor Human Detection. In: Progress in Electronics Engineering, Computer Engineering and Information Technology (PIECT 2017), 16-18 May 2017 , Bandung, Indonesia. pp. 1-6.. (Unpublished) |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Ezrinda, Mohd Zaihidee 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 |
Conference or Workshop Item |
author |
Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Ren, Jinchang Mohd Zuki, Salleh |
author_facet |
Ezrinda, Mohd Zaihidee Kamarul Hawari, Ghazali Ren, Jinchang Mohd Zuki, Salleh |
author_sort |
Ezrinda, Mohd Zaihidee |
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 |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/17907/ http://umpir.ump.edu.my/id/eprint/17907/1/fkee-2017-ezrinda-Hybrid%20Thermal-visible%20Fusion%20for%20Outdoor1.pdf http://umpir.ump.edu.my/id/eprint/17907/2/JTEC_maltesas_ezrinda_final.pdf |
first_indexed |
2023-09-18T22:25:01Z |
last_indexed |
2023-09-18T22:25:01Z |
_version_ |
1777415909008211968 |