Paper
27 November 2012 Optical correlation recognition research of low light level target based on lifting wavelet transform
Author Affiliations +
Abstract
Recognition of low-light level target is attracting more and more concern in modern military areas. However, for the reason of low contrast, low signal-to-noise ratio and inadequacy information of low-light level target etc, the goal to detect and recognize the target would not be realized by using photoelectric joint transform correlator. By median filtering and edge detection with lifting wavelet transform for low-light level target in this paper, the interference of background noise is reduced and useful information of target and template is enhanced at the same time. Experimental results show that the brightness and contrast of correlation peaks are both improved obviously after processing the joint image, which proves the method is very effective in target recognition field by using photoelectric hybrid joint transform correlator.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qibo Zhang, Yu Chen, Su Zhang, Yu Zhang, Hua Miao, and Wensheng Wang "Optical correlation recognition research of low light level target based on lifting wavelet transform", Proc. SPIE 8559, Information Optics and Optical Data Storage II, 85590M (27 November 2012); https://doi.org/10.1117/12.999676
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KEYWORDS
Image processing

Target recognition

Wavelet transforms

Joint transforms

Wavelets

Optical correlators

Target detection

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