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A New Method to Improve Canny Edge Detection on MRI Brain Affected by Rician Noise | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 26, Issue 2, 2015, Pages 52-56 | ||
| Author | ||
| Rabab Farhan Abbas | ||
| Abstract | ||
| The process to determine the edges is one of the basic processes to identify objects in the image, the edge detection process is used in many fields, including medical diagnosis, and one of the means of medical diagnosis is the use of magnetic resonance brain imaging, which is used to determine objects (tumors, bleeding, infections and developmental abnormalities). By capturing images of the brain is exposed to rician noise, lead this noise to difficulty of detecting these edges, therefore; the noise removed before the process of detecting edges. Conventional methods use a filter to remove the noise, some of them median filter, then perform Canny operator to do edge detection. The proposed method is uses soft threshold 3D multi wavelet transform with Canny operator which it performed on noisy MRI Brian slices that are arranged in 3D structure. The results show that the proposed method has a better results on Canny edge detection in both subjective and objective tests. This work is used MATLAB 2012 and it is developed on 2 GHZ processor, and 4 GB RAM computer. | ||
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