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, Hang Li, Yihua Tan, Yihua Tan, Yansheng Li, Yansheng Li, Bin Li, Bin Li, Jinwen Tian, 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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