13 March 2013 Local reverse entropy and its application in small targets detection
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Abstract
The detection of small targets that submerges in the homogeneous image background is a difficult problem in the design of small targets detection algorithm. The concept of local reverse entropy combining the concepts of local entropy with reverse entropy is proposed in this paper, which is to solve that problem by enhancing small targets. The norms of local signal-to-background ratio and elapsed time are used to demonstrate the performance of local reverse entropy map. Both quantitative analysis and qualitative comparison confirm the validity and efficiency of the presented approach.
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He Deng, Qingtang Liu, Lifang Cheng, "Local reverse entropy and its application in small targets detection", Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 87831S (13 March 2013); doi: 10.1117/12.2021223; https://doi.org/10.1117/12.2021223
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