A Promotion of a Color Morphological Filter

Abstract:

Mathematical morphology can be seen as a special digital image processing method and theory, which has been widely used in various fields. In this paper, the mathematical morphology is applied to the color image processing. In thespace of color image, I have simply expounded the theories and properties of color morphological changs, and defined its morphological operators. According to the application of omni-directional and multi-angle structuring elements composite morphological filter in gray image, I put forward a kind of color morphological filter with omni-directional and multi-angle structuring elements composite. This algorithm has retained its advantages in gray image, however, remaining some drawbacks. Through the optimization of results based on this algorithm, we finally get the relatively ideal denoising effects.

• Periodical: Applied Mechanics and Materials (Volumes 548-549)
• Pages: 1064-1067
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.548-549.1064
• Online since: April 2014
• Authors: Shui Ming He
• Keywords: Color Model, Color Morphological Filter, Mathematical Morphology

References

[1] Yanbin Ning, Shuiming He. Application Of BP Network in Evaluation Of Groundwater Quality[C]DCABES 2009 Proceeding, (2009).

[2] Raul C. Muresan. Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms. Neurocomputing 51 (2003) 487-493.

DOI: 10.1016/s0925-2312(02)00727-0

[3] Shuiming He, Dianhong Wang, Yanbin Ning. Application of Pulse coupled neural network in image recognition[C]1 1 1 1 International Conference on Computing, control and Industrial Engineering, (2010).

DOI: 10.1109/ccie.2010.223

[4] Zhijiang Zhao. A new method of PCNN's parameter's optimization[J]. ACTA Electronic SINICA, May, (2007).