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Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif

This prototype was developed to enhance foreign body images using Partitioned Iterated Function System (PIFS). The study focuses on patient with suspected fish bone within the esophagus area from x-ray images. Sometimes radiographic images produced poor quality result. This prototype is about image...

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主要作者: Sharif, Hidayah
格式: Thesis
語言:English
出版: 2010
在線閱讀:https://ir.uitm.edu.my/id/eprint/64082/1/64082.PDF
https://ir.uitm.edu.my/id/eprint/64082/
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spelling my.uitm.ir.640822023-09-05T00:29:47Z https://ir.uitm.edu.my/id/eprint/64082/ Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif Sharif, Hidayah This prototype was developed to enhance foreign body images using Partitioned Iterated Function System (PIFS). The study focuses on patient with suspected fish bone within the esophagus area from x-ray images. Sometimes radiographic images produced poor quality result. This prototype is about image enhancement that can be used by doctors to detect fish bone. At the same time, this application can be used for doctors to train medical students. This application used one of the image enhancement techniques which his Partitioned Iterated Function System (PIFS) algorithm. Through the development of the application, the effectiveness of the result has been evaluated. Noise image can be removed effectively with PIFS algorithm but the problem is high computational complexity in the searching process. 2010 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/64082/1/64082.PDF Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif. (2010) Degree thesis, thesis, Universiti Teknologi Mara (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description This prototype was developed to enhance foreign body images using Partitioned Iterated Function System (PIFS). The study focuses on patient with suspected fish bone within the esophagus area from x-ray images. Sometimes radiographic images produced poor quality result. This prototype is about image enhancement that can be used by doctors to detect fish bone. At the same time, this application can be used for doctors to train medical students. This application used one of the image enhancement techniques which his Partitioned Iterated Function System (PIFS) algorithm. Through the development of the application, the effectiveness of the result has been evaluated. Noise image can be removed effectively with PIFS algorithm but the problem is high computational complexity in the searching process.
format Thesis
author Sharif, Hidayah
spellingShingle Sharif, Hidayah
Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif
author_facet Sharif, Hidayah
author_sort Sharif, Hidayah
title Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif
title_short Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif
title_full Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif
title_fullStr Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif
title_full_unstemmed Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif
title_sort enhance foreign body image using partitioned iterated function system (pifs) in image enhancement technique / hidayah sharif
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/64082/1/64082.PDF
https://ir.uitm.edu.my/id/eprint/64082/
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score 13.251813

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