A Hybrid Thermal-Visible Fusion for Outdoor Human Detection

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)

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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.

Item Type: Article
Uncontrolled Keywords: Multisensory Image Fusion; Niblack Algorithm; Stationary Wavelet Transform; Thermal-Visible Image Fusion.
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Industrial Sciences And Technology
Faculty of Electrical & Electronic Engineering
Depositing User: Puan Ezrinda Mohd Zaihidee
Date Deposited: 12 Jul 2018 01:58
Last Modified: 12 Jul 2018 01:58
URI: http://umpir.ump.edu.my/id/eprint/21565
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