A Hybrid Thermal-Visible Fusion for Outdoor Human Detection

Authors

  • Ezrinda Mohd Zaihidee Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang.
  • Kamarul Hawari Ghazali Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang.
  • Jinchang Ren Department of Electronic and Electrical Engineering, University of Strathclyde.
  • Mohd Zuki Salleh Faculty of Industrial Sciences & Technology, Universiti Malaysia Pahang.

Keywords:

Multisensory Image Fusion, Niblack Algorithm, Stationary Wavelet Transform, Thermal-Visible Image Fusion,

Abstract

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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Published

2018-01-29

How to Cite

Mohd Zaihidee, E., Ghazali, K. H., Ren, J., & Salleh, M. Z. (2018). A Hybrid Thermal-Visible Fusion for Outdoor Human Detection. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-4), 79–83. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3580

Issue

Vol. 10 No. 1-4: Breakthrough To Excellence in Communication and Computer Engineering I

Section

Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)