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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Main Author: Mohamed, Azman
Format: Thesis
Language:English
Published: 2005
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/9162/
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author Mohamed, Azman
author_facet Mohamed, Azman
author_sort Mohamed, Azman
building UiTM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-14T21:30:55Z
format Thesis
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institution Universiti Teknologi MARA
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language English
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publishDate 2005
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spelling uitm-91622020-10-28T04:41:09Z https://ir.uitm.edu.my/id/eprint/9162/ Effective noise removal technique for enhancement of the X-ray image / Azman Mohamed 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/9162/1/9162.pdf Mohamed, Azman (2005) Effective noise removal technique for enhancement of the X-ray image / Azman Mohamed. (2005) Degree thesis, thesis, Universiti Teknologi MARA.
spellingShingle Electronic Computers. Computer Science
Database management
X-rays
Mohamed, Azman
Effective noise removal technique for enhancement of the X-ray image / Azman Mohamed
title 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_short 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
topic Electronic Computers. Computer Science
Database management
X-rays
url https://ir.uitm.edu.my/id/eprint/9162/