Noise Removal Techniques for Lung Cancer CT Images
نویسندگان
چکیده
Objectives: To analyze various filtering methods to eliminate noises present in the lung CT images and enhance image, which help further evaluation of for accurate cancer detection. compare proposed method with existing techniques find best technique. Methods: For input like salt along pepper noise speckle are added. noisy different Median filter, Wiener Gaussian filter Guided applied. The performances filters computed terms metrics PSNR, SSIM, MSE, SNR. Based on performance is selected remove images. Findings: results experiment shows that median more efficient comparison other eliminating exist by owning fewer mean square error (MSE) value 4.065604, a high SNR 36.5931, SSIM 0.983545, PSNR 42.0395. Novelty: Different analyzed densities from 5% 50% chosen considering metrics. compared techniques. can be used elimination imaging modalities. Keywords: Filtering; filter; Salt Pepper noise; Speckle
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ژورنال
عنوان ژورنال: Indian journal of science and technology
سال: 2022
ISSN: ['0974-5645', '0974-6846']
DOI: https://doi.org/10.17485/ijst/v15i32.798