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Noise removal methodologies for lung cancer diagnosis

Noise reduction is the one of the step in image processing where the process of reducing noise from an image. The noise present in the images such as in a medical image like Salt and Paper Noise, Gaussian Noise and others. Different noises have their own characteristics which make them identifiable...

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Main Author: Nur Fatin Razlieya, Mohd Razali
Format: Undergraduates Project Papers
Language:English
Published: 2019
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/26970/1/Noise%20removal%20methodologies%20for%20lung%20cancer.pdf
http://umpir.ump.edu.my/id/eprint/26970/
http://fypro.ump.edu.my/ethesis/index.php
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spelling my.ump.umpir.269702019-12-17T04:06:18Z http://umpir.ump.edu.my/id/eprint/26970/ Noise removal methodologies for lung cancer diagnosis Nur Fatin Razlieya, Mohd Razali QA75 Electronic computers. Computer science QA76 Computer software Noise reduction is the one of the step in image processing where the process of reducing noise from an image. The noise present in the images such as in a medical image like Salt and Paper Noise, Gaussian Noise and others. Different noises have their own characteristics which make them identifiable from others. However, enhanced the image especially the medical images is required by doctors to help the diagnosis and interpretation because lack of images quality due to the noise. The methods of noise removal was be analysed from existing paper in literature review. Based on the existing paper, each of the method had their own benefits and drawbacks. Therefore, the uses of suitable method is important to improve the quality of medical image for early diagnosis of lung cancer. In this paper, Gaussian Filter and Median Filter is proposed for removing the noise from CT scan images. The objective of the study is to implement and develop the method of noise removal for lung cancer diagnosis. The development research methodology presented five fundamental stage which are investigation of existing method of noise removal, developing a new method for noise removal, implementation of the noise removal method, verification and validation. Therefore, the algorithm will be developed and implemented in MATLAB software. Then, the method will be tested and verified to detect the cancer in the lung image. The result of CT scan image of lung cancer were showed and to validated the performance of this proposed method. 2019-01 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26970/1/Noise%20removal%20methodologies%20for%20lung%20cancer.pdf Nur Fatin Razlieya, Mohd Razali (2019) Noise removal methodologies for lung cancer diagnosis. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Nur Fatin Razlieya, Mohd Razali
Noise removal methodologies for lung cancer diagnosis
description Noise reduction is the one of the step in image processing where the process of reducing noise from an image. The noise present in the images such as in a medical image like Salt and Paper Noise, Gaussian Noise and others. Different noises have their own characteristics which make them identifiable from others. However, enhanced the image especially the medical images is required by doctors to help the diagnosis and interpretation because lack of images quality due to the noise. The methods of noise removal was be analysed from existing paper in literature review. Based on the existing paper, each of the method had their own benefits and drawbacks. Therefore, the uses of suitable method is important to improve the quality of medical image for early diagnosis of lung cancer. In this paper, Gaussian Filter and Median Filter is proposed for removing the noise from CT scan images. The objective of the study is to implement and develop the method of noise removal for lung cancer diagnosis. The development research methodology presented five fundamental stage which are investigation of existing method of noise removal, developing a new method for noise removal, implementation of the noise removal method, verification and validation. Therefore, the algorithm will be developed and implemented in MATLAB software. Then, the method will be tested and verified to detect the cancer in the lung image. The result of CT scan image of lung cancer were showed and to validated the performance of this proposed method.
format Undergraduates Project Papers
author Nur Fatin Razlieya, Mohd Razali
author_facet Nur Fatin Razlieya, Mohd Razali
author_sort Nur Fatin Razlieya, Mohd Razali
title Noise removal methodologies for lung cancer diagnosis
title_short Noise removal methodologies for lung cancer diagnosis
title_full Noise removal methodologies for lung cancer diagnosis
title_fullStr Noise removal methodologies for lung cancer diagnosis
title_full_unstemmed Noise removal methodologies for lung cancer diagnosis
title_sort noise removal methodologies for lung cancer diagnosis
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/26970/1/Noise%20removal%20methodologies%20for%20lung%20cancer.pdf
http://umpir.ump.edu.my/id/eprint/26970/
http://fypro.ump.edu.my/ethesis/index.php
_version_ 1654960271452536832
score 13.211869

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