Enhancement and edge detection of images by spline dyadic wavelets
| Autor: | Abduxukur Abdukirim, Turghunjan Abdukirim Turki, Zhang Haiying |
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| Rok vydání: | 2011 |
| Předmět: |
Discrete wavelet transform
Lifting scheme business.industry Computer science Second-generation wavelet transform Stationary wavelet transform Mathematics::Classical Analysis and ODEs Wavelet transform Pattern recognition Wavelet packet decomposition Wavelet Computer vision Artificial intelligence Harmonic wavelet transform business |
| Zdroj: | 2011 IEEE International Symposium on IT in Medicine and Education. |
| DOI: | 10.1109/itime.2011.6130779 |
| Popis: | Dyadic wavelet transform is suitable for enhancement and edge detection of images since it has a shift-invariant property. Especially, spline dyadic wavelet transform provides excellent enhancement and edge detection techniques because of the smoothness and compact support of box-spline functions. This paper gives a sufficient condition for constructing spline dyadic wavelet filters, and designs some of them under the sufficient condition. Fast dyadic wavelet transform having these filters is applied to enhancement and edge detection of medical images, which helps the diagnosis of illness by medical doctors. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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