Effective noise removal technique for enhancement of the X-ray image / Azman Mohamed

The noise removal is an important aspect of image processing, because the human visual System is very sensitive to the high amplitude of noise signals, thus noise in an image can result in a subjective loss of information. There are a lot of methods for noise removal like the Median, Mean, Gaussian...

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主要作者: Mohamed, Azman
格式: Thesis
語言:English
出版: 2005
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在線閱讀:https://ir.uitm.edu.my/id/eprint/9162/1/9162.pdf
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spelling my-uitm-ir.91622020-10-28T04:41:09Z Effective noise removal technique for enhancement of the X-ray image / Azman Mohamed 2005-04 Mohamed, Azman Electronic Computers. Computer Science Database management X-rays The noise removal is an important aspect of image processing, because the human visual System is very sensitive to the high amplitude of noise signals, thus noise in an image can result in a subjective loss of information. There are a lot of methods for noise removal like the Median, Mean, Gaussian or other filter. But there are only few measuring methods for the quality of a smoothed image. In most cases the developed filters are tested on standard images. On the other hand it is difficult to decide, which filter should be used for a given image with noise introduced to it. In this paper two methods for noise removal are introduced which are mean and median filtering in order examine important features for an automatic detection of adequate smoothing operators for a given noisy X-ray image. This paper tries to find the most suhable methods for noise removal and using the Signal-to-Noise Ratio to measure the noise. 2005-04 Thesis https://ir.uitm.edu.my/id/eprint/9162/ https://ir.uitm.edu.my/id/eprint/9162/1/9162.pdf text en public degree Universiti Teknologi MARA Perpustakaan Tun Abdul Razak
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Electronic Computers
Computer Science
Database management
X-rays
spellingShingle Electronic Computers
Computer Science
Database management
X-rays
Mohamed, Azman
Effective noise removal technique for enhancement of the X-ray image / Azman Mohamed
description The noise removal is an important aspect of image processing, because the human visual System is very sensitive to the high amplitude of noise signals, thus noise in an image can result in a subjective loss of information. There are a lot of methods for noise removal like the Median, Mean, Gaussian or other filter. But there are only few measuring methods for the quality of a smoothed image. In most cases the developed filters are tested on standard images. On the other hand it is difficult to decide, which filter should be used for a given image with noise introduced to it. In this paper two methods for noise removal are introduced which are mean and median filtering in order examine important features for an automatic detection of adequate smoothing operators for a given noisy X-ray image. This paper tries to find the most suhable methods for noise removal and using the Signal-to-Noise Ratio to measure the noise.
format Thesis
qualification_level Bachelor degree
author Mohamed, Azman
author_facet Mohamed, Azman
author_sort Mohamed, Azman
title Effective noise removal technique for enhancement of the X-ray image / Azman Mohamed
title_short Effective noise removal technique for enhancement of the X-ray image / Azman Mohamed
title_full Effective noise removal technique for enhancement of the X-ray image / Azman Mohamed
title_fullStr Effective noise removal technique for enhancement of the X-ray image / Azman Mohamed
title_full_unstemmed Effective noise removal technique for enhancement of the X-ray image / Azman Mohamed
title_sort effective noise removal technique for enhancement of the x-ray image / azman mohamed
granting_institution Universiti Teknologi MARA
granting_department Perpustakaan Tun Abdul Razak
publishDate 2005
url https://ir.uitm.edu.my/id/eprint/9162/1/9162.pdf
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