doi: 10.7763/IJET.2010.V2.163
The Research on Color Space Transfer Model Based on Dynamic Subspace Divided BP Neural Network
Zhi Chuan
1,2
,
,
- 1 Xi'an University of Technology, Xi'an 710048, China
- 2 Shaanxi University of Science and Technology, Xi'an 710021, China
- 3 Shaanxi Hwatop Science & Technology Co. Ltd., Xi'an 710043, China
Abstract
BP neural network not only has the ability of strong nonlinear information processing, but also has the advantage of transform quickly. Because the process of different color space conversion shows high nonlinear, it is reasonable to research color space conversion model by BP neural network. But the color space conversion is complicated, adding that it is easy for BP neural model to appear local optimum phenomenon during the transformation process, so it affects the model transformation precision. In order to improve the precision for BP neural network model color space conversion, this paper takes RGB color space and CIE L*a*b* color space as an example. Based on the input value, the color space is dynamically divided into many subspaces. To adopt the BP neural network in the subspace can effectively avoiding the local optimum of BP neural network in the whole color space and greatly improving the color space conversion precision.
Keywords
- Dynamic
- space
- divided;
- BP
- neural
- network;
- transition
- of
- color
- space;
- color
- error
How to Cite
Zhi Chuan, Zhou Shi-Sheng, and Shi Yi, "The Research on Color Space Transfer Model Based on Dynamic Subspace Divided BP Neural Network," International Journal of Engineering and Technology, vol. 2, no. 5, pp. 447-452, 2010. https://doi.org/ 10.7763/IJET.2010.V2.163
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).