ASM technique to detect spines in x-ray images

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Bibliographic Details
Main Author: Mohd Shuib, Sulaiman
Other Authors: Salina Mohd Asi
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41813
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spelling my.unimap-418132016-06-01T08:40:02Z ASM technique to detect spines in x-ray images Mohd Shuib, Sulaiman Salina Mohd Asi Spine Active shape models (ASM) Spine image Human spine OpenCV Access is limited to UniMAP community. The human spine regularly consists of 24 vertebrae. This project is about to detect the spines by implementing the Active Shape Models (ASM). The approaches ultilized by these technique is manual marking correspondences to make the training image. During this research, OpenCV libraries is the most appropriate material for object detection and image processing. Besides that, this project also conclude that better training shape of images can produce better output. This project used Stasm 4 software library integrated with OpenCV libraries. These configurations need to be test with sample given to make sure that it working properly. Even the training shape cannot detect the spines properly, but it still appears in better condition. In order to make this project success, the research need to improve their effort. Better understanding of OpenCv concept can helps a lot. 2016-06-01T08:40:02Z 2016-06-01T08:40:02Z 2015-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41813 en Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Spine
Active shape models (ASM)
Spine image
Human spine
OpenCV
spellingShingle Spine
Active shape models (ASM)
Spine image
Human spine
OpenCV
Mohd Shuib, Sulaiman
ASM technique to detect spines in x-ray images
description Access is limited to UniMAP community.
author2 Salina Mohd Asi
author_facet Salina Mohd Asi
Mohd Shuib, Sulaiman
format Learning Object
author Mohd Shuib, Sulaiman
author_sort Mohd Shuib, Sulaiman
title ASM technique to detect spines in x-ray images
title_short ASM technique to detect spines in x-ray images
title_full ASM technique to detect spines in x-ray images
title_fullStr ASM technique to detect spines in x-ray images
title_full_unstemmed ASM technique to detect spines in x-ray images
title_sort asm technique to detect spines in x-ray images
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41813
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score 13.222552