维纳滤波器在Covid-19胸部x线图像、超声图像和乳房x线图像恢复中的性能分析

Sneha M R, B. Manju
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引用次数: 0

摘要

医学图像,如x射线图像,乳房x光照片和超声图像是非常有用的诊断技术,用于了解不同的内部器官,骨骼,组织等的功能。大多数情况下,这些医学图像会受到一些噪声和各种模糊的影响。图像模糊和退化导致图像质量下降,从而给正确诊断带来困难。本文重点研究了维纳滤波在Covid-19患者胸片、胎儿腹部囊肿、脐带囊肿、颈总动脉超声图像、病理和非病理性乳房x线片图像去模糊和去噪中的效果。利用结构相似度(SSIM)、直方图、峰值信噪比和均方误差等图像恢复参数分析了维纳滤波器的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Analysis of Wiener filter in Restoration of Covid-19 Chest X-Ray Images, Ultrasound Images and Mammograms
Medical images such as X-Ray images, Mammograms and Ultrasound images are very useful diagnostic techniques used for understanding the functions of different internal organs, bones, tissues, etc. Most of the times these medical images are degraded by some noises and different kinds of blur. Image blurring and degradation leads to loss of quality of images which in hand causes difficulty in proper diagnosis. This paper emphases on the efficacy of Wiener filter in image de blurring and denoising Chest X-Ray of Covid-19 patients, ultrasound images of fetal abdominal cyst, umbilical cord cyst and Common Carotid Artery, Mammogram of both pathological and non-pathological breasts. Performance of Wiener filter is analyzed using image restoration parameters like Structural Similarity (SSIM), Histogram, Peak Signal to Noise Ratio and Mean Square Error.
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