Abstract
This paper presents a method for detecting the small infrared target under complex background. An algorithm, named local mutation weighted information entropy (LMWIE), is proposed to suppress background. Then, the grey value of targets is enhanced by calculating the local energy. Image segmentation based on the adaptive threshold is used to solve the problems that the grey value of noise is enhanced with the grey value improvement of targets. Experimental results show that compared with the adaptive Butterworth high-pass filter method, the proposed algorithm is more effective and faster for the infrared small target detection.
Original language | English |
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Article number | 6403992 |
Pages (from-to) | 838-842 |
Number of pages | 5 |
Journal | Journal of Systems Engineering and Electronics |
Volume | 23 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2012 |
Keywords
- Adaptive threshold
- Grey value of target
- Infrared small target detection
- Local mutation weighted information entropy (LMWIE)