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Proceedings Paper

Simulation of sea surface images in the infrared and similarity evaluate
Author(s): Jiangbo Yang; Yuehuan Wang; Tianxu Zhang
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Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880T (15 November 2007); doi: 10.1117/12.748278
Show Author Affiliations
Jiangbo Yang, Huazhong Univ. of Science and Technology (China)
Yuehuan Wang, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 6788:
MIPPR 2007: Pattern Recognition and Computer Vision
S. J. Maybank; Mingyue Ding; F. Wahl; Yaoting Zhu, Editor(s)

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