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dc.contributor.author | Master, Ankit Vinod | en_US |
dc.date.accessioned | 2008-09-17T23:35:12Z | |
dc.date.available | 2008-09-17T23:35:12Z | |
dc.date.issued | 2008-09-17T23:35:12Z | |
dc.date.submitted | August 2008 | en_US |
dc.identifier.other | DISS-2238 | en_US |
dc.identifier.uri | http://hdl.handle.net/10106/1123 | |
dc.description.abstract | OBJECTIVE: Classification of MRI image data based on its attribute characteristics is very important for storing the image data and its efficient retrieval. This project aims to find a solution to the problem of classification of the images that are stored on a hard drive and image retrieval from the image database with optimum automation in a user friendly way. METHOD: Matlab was used to create a software tool for image classification and, Java and SQL were used to create a software tool for image retrieval. RESULTS: Image classification tool could read multiple files, extract attribute values from the files and store them in a directory hierarchy automatically. Image retrieval tool could query the database and route the user to the actual image data that was stored on the hard drive. CONCLUSIONS: The image classification tool was efficient at classifying images in relatively short time as compared to other tools and with minimum labor. Image retrieval tool could successfully execute queries via a user friendly Graphical User Interface (GUI), without the user having to know the programming language of the database. | en_US |
dc.description.sponsorship | Devous, Michael | en_US |
dc.language.iso | EN | en_US |
dc.publisher | Biomedical Engineering | en_US |
dc.title | A Novel Approach For MRI Image Classification And Image Retrieval | en_US |
dc.type | M.S. | en_US |
dc.contributor.committeeChair | Devous, Michael | en_US |
dc.degree.department | Biomedical Engineering | en_US |
dc.degree.discipline | Biomedical Engineering | en_US |
dc.degree.grantor | University of Texas at Arlington | en_US |
dc.degree.level | masters | en_US |
dc.degree.name | M.S. | en_US |
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