Abstract
The validity of using the weighted information entropy to estimate the complex degree of the infrared images’ backgrounds is discussed in this paper. A Butterworth high pass filter whose cut-off frequency can be adaptively regulated to meet the different backgrounds is proposed to restrain the different clutters. Since the backgrounds usually have some random change in the video sequences, an adaptive binarisation criterion for small target detection is also presented. Experimental results show the robustness of our method.
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© 2005 Springer-Verlag Berlin Heidelberg
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Yang, L., Yang, J., Peng, N., Ling, J. (2005). Weighted Information Entropy: A Method for Estimating the Complex Degree of Infrared Images’ Backgrounds. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_27
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DOI: https://doi.org/10.1007/11559573_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29069-8
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