Image preprocessing based on spatial statistics for the optical correlation recognition of aviation photographs

Yifan Sun; Qiaofeng Tan; Liangcai Cao; Kai Ni; Qingsheng He; Guofan Jin

doi:10.1117/12.756074

4 January 2008 Image preprocessing based on spatial statistics for the optical correlation recognition of aviation photographs

Yifan Sun, Qiaofeng Tan, Liangcai Cao, Kai Ni, Qingsheng He, Guofan Jin

Author Affiliations +

Proceedings Volume 6832, Holography and Diffractive Optics III; 68321X (2008) https://doi.org/10.1117/12.756074
Event: Photonics Asia 2007, 2007, Beijing, China

Abstract

A new method of digital image processing is developed for the correlation recognition of aviation photographs under volume holographic correlator. The physical characteristics of semivariogram of the image are analyzed according to spatial statistics, which suggests the principle of the image segmentation, including the dimension of the templates, the space between each template and the image restoration. Then the residual space of each template is calculated directly based on the 2D-images to enlarge and to scatter the differences between the correlativity. After that, the residual spaces are reconstructed to form the final set of templates. Finally the proposed method is tested on a series of aviation photographs. The experimental results come with rather higher precision as well as rather lower computational complexity, which supports the real-time capability of the optical correlation recognition of aviation photographs under volume holographic correlator.

Citation Download Citation

Yifan Sun, Qiaofeng Tan, Liangcai Cao, Kai Ni, Qingsheng He, and Guofan Jin "Image preprocessing based on spatial statistics for the optical correlation recognition of aviation photographs", Proc. SPIE 6832, Holography and Diffractive Optics III, 68321X (4 January 2008); https://doi.org/10.1117/12.756074

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KEYWORDS

Photography

Image segmentation

Image processing

Holography

Volume holography

Optical correlators

Statistical analysis

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