Abstract
Proposed a novel method to detect dim targets in infrared image sequences. To suppress noises and fluctuations in the background, a preprocess that multiply wavelet coefficients at the adjacent small-scales is applied based on the dependencies between wavelet coefficients; Aimed at pseudo-targets remained in the preprocessed image, separate dim targets from the background using morphology, the dissimilarity of double-windows according to the priori knowledge of the target’s area and the moving continuity of targets. Experiments show that the algorithm has obvious advantages at positioning dim targets precisely.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhao, X., Zhou, X., Yuan, S. (2011). Moving Objects Detection Method Based on Dependencies between Wavelet Coefficients. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_73
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DOI: https://doi.org/10.1007/978-3-642-23226-8_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23225-1
Online ISBN: 978-3-642-23226-8
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