Image fusion algorithm using rough sets theory and wavelet analysis
| Autor: | Xia Mingge, Huang Xiaodong, Su Feng, He You |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Image fusion
business.industry Image quality Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Pattern recognition Wavelet Computer Science::Computer Vision and Pattern Recognition Entropy (information theory) Artificial intelligence Rough set business Image resolution Mathematics |
| Zdroj: | Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004.. |
| DOI: | 10.1109/icosp.2004.1441500 |
| Popis: | Wavelets with their multiresolution property, have been proved to be effective in the integrating of the coarse features and finer resolution details of source images to produce a good fused image. The theory of rough sets has emerged as a major mathematical approach for managing uncertainty that arises from inexact, noisy, or incomplete information. Image fusion algorithm using rough sets and wavelet analysis is proposed in this paper. Multifocus images are enhanced using rough sets, then fused them using Db4 wavelet. The proposed fusion scheme is examined on images which are contaminated by salt-pepper noise. Entropy is used to evaluate image quality. Experimental results demonstrate the effectiveness of the image fusion algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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