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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Main Author: Sharif, Hidayah
Format: Thesis
Language:English
Published: 2010
Online Access:https://ir.uitm.edu.my/id/eprint/64082/1/64082.PDF
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spelling my-uitm-ir.640822023-09-05T00:29:47Z Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif 2010 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 https://ir.uitm.edu.my/id/eprint/64082/ https://ir.uitm.edu.my/id/eprint/64082/1/64082.PDF text en public degree Universiti Teknologi Mara (UiTM) Faculty of Computer and Mathematical Sciences Abd. Khalid, Noor Elaiza (Dr.)
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Abd. Khalid, Noor Elaiza (Dr.)
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
qualification_level Bachelor degree
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
granting_institution Universiti Teknologi Mara (UiTM)
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/64082/1/64082.PDF
_version_ 1783735395339468800