Best-location technique for mammogram authentication by LSB based watermarking

This project has been developed to embed the patient information into 25 samples of mammogram images in a grayscale format. MATLAB Software has been used as a tool to develop the algorithm where the algorithm has a capability to embed and extract the hidden data. Since the algorithm will identify th...

Full description

Saved in:

Bibliographic Details
Main Author:	Mohd. Foozy, Cik Feresa
Format:	Thesis
Language:	English
Published:	2009
Subjects:	QA75 Electronic computers Computer science RZ Other systems of medicine
Online Access:	http://eprints.utm.my/id/eprint/11291/1/CikFeresaMohdMFSKSM2009.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.11291
record_format	uketd_dc
spelling	my-utm-ep.112912018-06-04T09:51:36Z Best-location technique for mammogram authentication by LSB based watermarking 2009-10 Mohd. Foozy, Cik Feresa QA75 Electronic computers. Computer science RZ Other systems of medicine This project has been developed to embed the patient information into 25 samples of mammogram images in a grayscale format. MATLAB Software has been used as a tool to develop the algorithm where the algorithm has a capability to embed and extract the hidden data. Since the algorithm will identify the breast area before embedding process, the patient’s information will be embedded at the best location which is at the background area without interrupting the breast area. Little distortion at the background images are seen when embedding is using LSB 1 and LSB 2. Meanwhile, few images are distorted when using LSB 3. However, there is no distortion identified at all samples when using LSB 4 until LSB 8. Finally, based on the PSNR result, it shows that the quality of watermarked mammogram images is in high value and the watermarked mammogram images are in a good quality. 2009-10 Thesis http://eprints.utm.my/id/eprint/11291/ http://eprints.utm.my/id/eprint/11291/1/CikFeresaMohdMFSKSM2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science RZ Other systems of medicine
spellingShingle	QA75 Electronic computers Computer science RZ Other systems of medicine Mohd. Foozy, Cik Feresa Best-location technique for mammogram authentication by LSB based watermarking
description	This project has been developed to embed the patient information into 25 samples of mammogram images in a grayscale format. MATLAB Software has been used as a tool to develop the algorithm where the algorithm has a capability to embed and extract the hidden data. Since the algorithm will identify the breast area before embedding process, the patient’s information will be embedded at the best location which is at the background area without interrupting the breast area. Little distortion at the background images are seen when embedding is using LSB 1 and LSB 2. Meanwhile, few images are distorted when using LSB 3. However, there is no distortion identified at all samples when using LSB 4 until LSB 8. Finally, based on the PSNR result, it shows that the quality of watermarked mammogram images is in high value and the watermarked mammogram images are in a good quality.
format	Thesis
qualification_level	Master's degree
author	Mohd. Foozy, Cik Feresa
author_facet	Mohd. Foozy, Cik Feresa
author_sort	Mohd. Foozy, Cik Feresa
title	Best-location technique for mammogram authentication by LSB based watermarking
title_short	Best-location technique for mammogram authentication by LSB based watermarking
title_full	Best-location technique for mammogram authentication by LSB based watermarking
title_fullStr	Best-location technique for mammogram authentication by LSB based watermarking
title_full_unstemmed	Best-location technique for mammogram authentication by LSB based watermarking
title_sort	best-location technique for mammogram authentication by lsb based watermarking
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems
granting_department	Faculty of Computer Science and Information System
publishDate	2009
url	http://eprints.utm.my/id/eprint/11291/1/CikFeresaMohdMFSKSM2009.pdf
_version_	1747814835242926080

Best-location technique for mammogram authentication by LSB based watermarking

Similar Items