Targets detection in smoke-screen image sequences using fractal and rough set theory

Xiaoke Yan

doi:10.1117/12.2193157

5 August 2015 Targets detection in smoke-screen image sequences using fractal and rough set theory

Xiaoke Yan

Proceedings Volume 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 962214 (2015) https://doi.org/10.1117/12.2193157
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China

Abstract

In this paper, a new algorithm for the detection of moving targets in smoke-screen image sequences is presented, which can combine three properties of pixel: grey, fractal dimensions and correlation between pixels by Rough Set. The first step is to locate and extract regions that may contain objects in an image by locally grey threshold technique. Secondly, the fractal dimensions of pixels are calculated, Smoke-Screen is done at different fractal dimensions. Finally, according to temporal and spatial correlations between different frames, the singular points can be filtered. The experimental results show that the algorithm can effectively increase detection probability and has robustness.

Citation Download Citation

Xiaoke Yan "Targets detection in smoke-screen image sequences using fractal and rough set theory", Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 962214 (5 August 2015); https://doi.org/10.1117/12.2193157

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