Simulation of sea surface images in the infrared and similarity evaluate

Jiangbo Yang; Yuehuan Wang; Tianxu Zhang

doi:10.1117/12.748278

15 November 2007 Simulation of sea surface images in the infrared and similarity evaluate

Jiangbo Yang, Yuehuan Wang, Tianxu Zhang

Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67880T (2007) https://doi.org/10.1117/12.748278
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

The simulation of ocean environment in the infrared has been a hot yet difficult problem in the field of computer simulation. In this paper, the shortage of the simulation of infrared ocean images with Vega is analyzed, and then a new simulation method based on 3D modeling with OpenGL is introduced. The new method abandons the high precision mesh but uses mathematical model to manipulate vertex of the mesh and establish the model. Experiments demonstrated that the method proposed is much more efficient and guarantees the quality of the simulation images. Finally a similarity evaluation function based on features extracted from co-occurrence matrix such as angular second moment, entropy, related coefficient, contrast and uniformity is put forward to evaluate the similarity of the images.

Citation Download Citation

Jiangbo Yang, Yuehuan Wang, and Tianxu Zhang "Simulation of sea surface images in the infrared and similarity evaluate", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880T (15 November 2007); https://doi.org/10.1117/12.748278

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