x射线图像的去噪技术和质量分析

2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE) Pub Date : 2019-03-01 DOI:10.1109/ICATIECE45860.2019.9063843

Manjula Gururaj Rao H, Dr. G. S. Nagaraja

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引用次数: 12

摘要

为了检测医学图像中的任何类型的异常，图像的质量是非常重要的。为了提高图像的质量，采用了预处理步骤。这包括图像增强和去噪。消除噪声的方法多种多样。本文阐述了x射线Dicom图像中不同类型的噪声以及不同的滤波方法。使用PSNR和MSE计算图像改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Noise Removal Techniques and Quality analysis of X-ray Images

To detection of any types of anomalies in the medical images, the quality of the image is very important. To improve the quality of the images pre-processing steps are used. This includes the image enhancement and noise removal. Removing of the noise is done by various methods. This paper elaborates on different types of noise in the X-ray Dicom images and different filtering methods. Image improvement is calculated using PSNR and MSE.

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2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)

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