30 October 2009 A preprocessing method based on non-subsampled contourlet transform
Author Affiliations +
Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74950Y (2009) https://doi.org/10.1117/12.832364
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
This paper focuses on preprocessing methods for the infrared images. Due to noises, low contrast and local difference of materials, Forward-looking Infrared targets have a great difference of local gray levels. Such different gray levels add the difficulty of targets detection and may lead a decrease in accuracy and rate of detection in Gray-based template matching. To overcome the difficulty, we present a novel preprocessing method based on non-subsampled contourlet transform (NSCT) which is good at multi-direction and multi-scale. This method firstly do Non-subsampled contourlet transform to infrared images. The level of decomposition is decided by the size of the template which is considered as the basic structure and the directions of decomposition are chosen by the imaging angles. Then we reconstruct the image according to the coefficients of the decomposition. Experiments based on template matching in forward-looking infrared images show that the proposed preprocessing method based on NSCT can significantly improve the detection rate (DR) and the stability. Experimental results also show that our proposed method has better performance than some other preprocessing methods.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Wu, Zhiguo Cao, Yi Zheng, Wen Zhuo, "A preprocessing method based on non-subsampled contourlet transform", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950Y (30 October 2009); doi: 10.1117/12.832364; https://doi.org/10.1117/12.832364
PROCEEDINGS
5 PAGES


SHARE
Back to Top