You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
15 November 2007Simulation of sea surface images in the infrared and similarity evaluate
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.
The alert did not successfully save. Please try again later.
Jiangbo Yang, Yuehuan Wang, 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);