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  • 标题:FILTERING OF MAGNETIC RESONANCE IMAGES USING AN ADAPTIVE HYBRIDIZED FUZZY FILTER
  • 本地全文:下载
  • 作者:R.Sindhiya Devi ; B.Perumal ; M.Pallikonda Rajasekaran
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2020
  • 卷号:11
  • 期号:5
  • 页码:478-487
  • DOI:10.21817/indjcse/2020/v11i5/201105100
  • 出版社:Engg Journals Publications
  • 摘要:An image should be processed carefully in order to get its optimized form. The main problem during the acquisition of the images through electronic ways and means is the noise that arises. The denoising capability of the median filter is better compared to most of the available filters and hence we look into it. The elevated version of median is the adaptive median filtering which includes spatial information for the conservation of every detail and also the reduction of noise. In case of uncertainty, Fuzzy logic works well. Here, we filter the impulsive salt and pepper noise in MRI images. A median filter that uses Fuzzy logic and the adaptive median filter are compared with the modified Type 2 Fuzzy filter that is suggested for the denoising approach. Their outputs are compared to show its outperformance by using the PSNR, and Structural Similarity index parameters.
  • 关键词:Denoising;DBAMF;NAFSM;AHFF;Impulse noise.
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