Weak target extraction algorithm based on nonsubsampled contourlet transform

Zhang Wei; Zhongcheng Fan

doi:10.1117/12.2209021

14 December 2015 Weak target extraction algorithm based on nonsubsampled contourlet transform

Zhang Wei, Zhongcheng Fan

Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98120W (2015) https://doi.org/10.1117/12.2209021
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

A new target extraction algorithm based Nonsubsampled Contourlet Transform(NSCT) is proposed according to the difficulty of weak target extraction. Paper detailed analyses and summarizes the data feature of image in NSCT domain, proposes a weak target extraction algorithm using high-frequency coefficients and mathematical morphology. The high-frequency coefficients were calculated by NSCT at first. Then the high-frequency coefficients were processed for noise cancellation by adaptive thresholds in corresponding sub-band. After these operations, the mathematical morphology method was adopted to remedy the defects of image contour. Finally, the object image is obtained by inverse NSCT. The simulation results show that this method can detect the target information fast and accurately, can meet the practical requirement.

Citation Download Citation

Zhang Wei and Zhongcheng Fan "Weak target extraction algorithm based on nonsubsampled contourlet transform", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98120W (14 December 2015); https://doi.org/10.1117/12.2209021

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