Optical Correlation Recognition Research of Low Light Level Target Based on Lifting Wavelet Transform

Qi Bo Zhang; Su Zhang; Yu Zhang; Wen Sheng Wang

doi:10.4028/www.scientific.net/KEM.552.529

Paper Titles

Two Methods to Loosen Optical Manufacture Tolerances for ArF Projection Optics
p.502

Deformation Measurement Method for Artillery Components Based on Laser Radar
p.510

Research on Measurement Method of Parallelism of Artillery’s Directional Beam Based on the Laser Radar
p.515

Distorted Target Recognition Based on Prewitt Operator Combined with MACH Filter
p.523

Optical Correlation Recognition Research of Low Light Level Target Based on Lifting Wavelet Transform
p.529

Optical Correlation Recognition Technology of Small Moving Target Based on Wavelet Multi-Scale Edge Fusion
p.536

Fast Tracking of Moving Target Combining SURF and Cluster Analysis
p.542

Structure Design and Finite Element Analysis of Receiving System for Optical Communication
p.548

Design Calculation of Micro-Displacement Amplifier Mechanism Based on Bridge Flexure Hinge
p.554

HomeKey Engineering MaterialsKey Engineering Materials Vol. 552Optical Correlation Recognition Research of Low...

Optical Correlation Recognition Research of Low Light Level Target Based on Lifting Wavelet Transform

Abstract:

Optical correlation technology is an important application in target recognition field, which can apply Joint Transform Correlator (JTC) to achieve target recognition. For the Low Light Level (LLL) target with low contrast and background noise interference, using optical correlation method may reduce the recognition ratio. In order to solve the problem, an effective algorithm-adaptive directional lifting based on wavelet transform (ADL) is used to process LLL target image. LLL image enhancement and target edge extraction are applied in this algorithm. Experimental results show that this algorithm can enhance the brightness of the correlation peaks and has the advantage of quick operation.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Key Engineering Materials (Volume 552)

Pages:

529-535

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.552.529

Citation:

Cite this paper

Online since:

May 2013

Authors:

Qi Bo Zhang, Su Zhang, Yu Zhang, Wen Sheng Wang

Keywords:

Adaptive Directional Lifting, Lifting Wavelet Transform, Low Light Level Target, Optical Correlation Recognition

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Ai Kecong: Development and prospect of low-light-level (LLL) night vision technology. Journal of Applied Optics. Vol. 27-4 (2006) pp.303-306.

Google Scholar

[2] Zhou Liwei: On figure of merit of low light level image intensifiers. Infrared and Laser Engineering. Vol. 33-4 (2004) pp.331-337.

Google Scholar

[3] Liu Wenzhe, Zhang Wanyi, Dong Hui: Study on infrared target recognition algorithm with correlation. Chinese Journal of Scientific Instrument. Vol. 32-4 (2011) pp.850-855.

Google Scholar

[4] Chen Fanghan and Wang Wensheng, Research on low contrast target detection based on multiwavelets. ICNC 2010. Vol.7 Proc. pp.3401-3404.

Google Scholar

[5] Chen Fanghan, Zhang Su and Wang Wensheng: Applications of curvelet transform in low contrast target recognition. Acta Armanentarii.Vol.6 (2012) pp.688-694.

Google Scholar

[6] D, Wang, L. Zhang and A. Vincent. Curved wavelet transform for image coding. IEEE Trans. Image Process. Vol.15-8 pp.2413-2421.

DOI: 10.1109/tip.2006.875207

Google Scholar

[7] Ding Wenpeng: Adaptive directional lifting-based wavelet transform for image coding. IEEE Trans. Image Processing.Vol.16-2 (2007) pp.416-427

DOI: 10.1109/tip.2006.888341

Google Scholar

[8] W. Swedens: The lifting scheme-A Custom-Design Construction of Biorthogonal Wavelets. Industrial Mathematics Initiative. Tech. Rep. (1994)

Google Scholar

[9] Thomas schanze. Sinc Inter polation of Discrete Periodic Signals. IEEE Trans. Signal Processing. Vol.43-6 (1995).

DOI: 10.1109/78.388863

Google Scholar

[10] Zhang Su, Yu Yuanhang and Wang Wensheng. Applicaiton of wavelet transform in low light level target detection and recognition. Chinese Journal of Scientific Instrument. Vol.32-6 (2011). pp.117-120.

Google Scholar