Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41813
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mohd Shuib, Sulaiman | - |
dc.date.accessioned | 2016-06-01T08:40:02Z | - |
dc.date.available | 2016-06-01T08:40:02Z | - |
dc.date.issued | 2015-06 | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41813 | - |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Spine | en_US |
dc.subject | Active shape models (ASM) | en_US |
dc.subject | Spine image | en_US |
dc.subject | Human spine | en_US |
dc.subject | OpenCV | en_US |
dc.title | ASM technique to detect spines in x-ray images | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Salina Mohd Asi | en_US |
dc.publisher.department | School of Computer and Communication Engineering | en_US |
Appears in Collections: | School of Computer and Communication Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Abstract,Acknowledgement.pdf | 111.28 kB | Adobe PDF | View/Open | |
Introduction.pdf | 101.15 kB | Adobe PDF | View/Open | |
Literature Review.pdf | 156.27 kB | Adobe PDF | View/Open | |
Methodology.pdf | 229.23 kB | Adobe PDF | View/Open | |
Results and Discussion.pdf | 110.52 kB | Adobe PDF | View/Open | |
Conclusion and Recommendation.pdf | 99.59 kB | Adobe PDF | View/Open | |
Refference and Appendics.pdf | 108.5 kB | Adobe PDF | View/Open |
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