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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Bibliographic Details
Main Author:	Mohamed, Azman
Format:	Thesis
Language:	English
Published:	2005
Subjects:	Electronic Computers Computer Science Database management X-rays
Online Access:	https://ir.uitm.edu.my/id/eprint/9162/1/9162.pdf
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id	my-uitm-ir.9162
record_format	uketd_dc
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
_version_	1783733147797553152

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

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