26 October 2013 Small target detection based on non-linear histogram equalization and confidence measure
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Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 891817 (2013) https://doi.org/10.1117/12.2031457
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
Abstract
An efficient automatic small target detection algorithm in infrared image is proposed. Based on non-linear histogram equalization, a coarse-to-fine segmentation is used to segment IR image into target candidates.
Then genuine targets are captured by using contrast-based confidence measure and empirical size constraint. Experimental results demonstrate that the presented method is efficient, accurate and robust.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hang Li, Yihua Tan, Yansheng Li, Bin Li, Jinwen Tian, "Small target detection based on non-linear histogram equalization and confidence measure", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 891817 (26 October 2013); doi: 10.1117/12.2031457; https://doi.org/10.1117/12.2031457
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