A Hybrid Thermal-visible Fusion for Outdoor Human Detection

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 (Unpublished)

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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: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: multisensory image fusion; Niblack algorithm; Stationary Wavelet Transform; thermal-visible image fusion
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Faculty of Industrial Sciences And Technology
Depositing User: Noorul Farina Arifin
Date Deposited: 08 Jun 2017 06:43
Last Modified: 09 Jan 2018 01:13
URI: http://umpir.ump.edu.my/id/eprint/17907
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