NOISE REDUCTION IN MEDICAL IMAGES USING ADAPTIVE WEIGHTED MEDIAN FILTER BASED ON BACK PROPAGATION NEURAL NETWORK.
Journal Title: International Journal of Advanced Research (IJAR) - Year 2018, Vol 6, Issue 9
Abstract
A novel Adaptive Weighted Median Filter Based on Back Propagation Neural Network (AWM/BPNN) filter is proposed for reducing noise in medical images and improving the performance of median-based filters. The proposed filter achieves its effect through the linear combinations of the median based filters and neural network technique. In this proposed system is a three-stage process. In the first stage, the adaptive technique is used to determine whether the pixel is corrupted or uncorrupted. In the second stage, the weights of the Weighted Median (WM) filter are calculated by using Back Propagation Neural Network (BPNN) algorithm. In the final stage, the corrupted pixel value is replaced by the weighted median value. The visual and performance metrics show that the proposed filter outperforms many of the standard median filters in terms of noise removal with edge preservation.
Authors and Affiliations
Umamaheswari . J.
Keywords
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- EP ID EP400593
- DOI 10.21474/IJAR01/7642
- Views 63
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