@article{(Open Science Index):https://publications.waset.org/pdf/6107, title = {Impulse Noise Reduction in Brain Magnetic Resonance Imaging Using Fuzzy Filters}, author = {Benjamin Y. M. Kwan and Hon Keung Kwan}, country = {}, institution = {}, abstract = {Noise contamination in a magnetic resonance (MR) image could occur during acquisition, storage, and transmission in which effective filtering is required to avoid repeating the MR procedure. In this paper, an iterative asymmetrical triangle fuzzy filter with moving average center (ATMAVi filter) is used to reduce different levels of salt and pepper noise in a brain MR image. Besides visual inspection on filtered images, the mean squared error (MSE) is used as an objective measurement. When compared with the median filter, simulation results indicate that the ATMAVi filter is effective especially for filtering a higher level noise (such as noise density = 0.45) using a smaller window size (such as 3x3) when operated iteratively or using a larger window size (such as 5x5) when operated non-iteratively.}, journal = {International Journal of Biomedical and Biological Engineering}, volume = {5}, number = {12}, year = {2011}, pages = {688 - 691}, ee = {https://publications.waset.org/pdf/6107}, url = {https://publications.waset.org/vol/60}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 60, 2011}, }