Abstract
Noise in medical images may affect the result of clinical diagnosis. We propose a rapid noise variances estimation method named Gabor Wavelet Laplacian convolution (GWLC). This method allows rapid estimation of image noise variance without complex calculation. We exclude unwanted image edge lines through Gabor wavelet transform edge detection. Henceforth, we can estimate the noise variance of the image through GWLC. A performance comparison between our proposed method and referred method are carried out. GWLC outperforms other related methods.
Original language | English |
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Title of host publication | Proceedings of 2016 International Conference on Robotics, Automation and Sciences, ICORAS 2016 |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
ISBN (Electronic) | 9781509062058 |
DOIs | |
Publication status | Published - 2016 |
Externally published | Yes |
Event | International Conference on Robotics, Automation and Sciences 2016 - Melaka, Malaysia Duration: 5 Nov 2016 → 6 Nov 2016 https://ieeexplore.ieee.org/xpl/conhome/7864798/proceeding (Proceedings) |
Conference
Conference | International Conference on Robotics, Automation and Sciences 2016 |
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Abbreviated title | ICORAS 2016 |
Country/Territory | Malaysia |
City | Melaka |
Period | 5/11/16 → 6/11/16 |
Internet address |
Keywords
- Biomedical Imaging
- Computed Tomography
- Image Processing
- Medical Imaging
- Noise Estimation