Infrared texture simulation using non-parameteric random field model

Xiaopeng Shao; Changmei Gong; Jun Xu

doi:10.1117/12.749501

15 November 2007 Infrared texture simulation using non-parameteric random field model

Xiaopeng Shao, Changmei Gong, Jun Xu

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67871C (2007) https://doi.org/10.1117/12.749501
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

A non-parametric random field model by Ashikhmin algorithm is introduced to synthesize the infrared textures in detail. The non-parametric model provides the spatial structure of the infrared texture, which makes it more similar with the infrared textures taken by infrared camera. Then a conversion of texture to temperature field is given to yield a temperature distribution by given a group of temperature parameters. The Planck's radiation law is applied to obtain the emittance distribution sample, called physical infrared texture which is always used in the hardware-in-the-loop systems, from the temperature field. And a method to generate the appearance infrared texture is developed by applied the effect of infrared imaging system. Finally, some examples of infrared textures synthesized by Ashikhmin algorithm are presented in the paper. The simulation results show that the non-parametric model is more available, more efficient, more suitable and more easily controlled to synthesize the infrared textures in the infrared scenes simulations.

Citation Download Citation

Xiaopeng Shao, Changmei Gong, and Jun Xu "Infrared texture simulation using non-parameteric random field model", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871C (15 November 2007); https://doi.org/10.1117/12.749501

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