CBIR for MR and CT images / Wong Chung Hiong

Image analysis has gained popularity in the medical field as there are many illnesses which require X-rays, Computerized Tomography (CT) scans and Magnetic Resonance (MR) images in order to enable accurate diagnosis of diseases, physician education and future research. The images collected through C...

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Bibliographic Details
Main Author: Wong, Chung Hiong
Format: Thesis
Published: 2005
Subjects:
Online Access:http://studentsrepo.um.edu.my/12059/
http://studentsrepo.um.edu.my/12059/1/Wong_Chung_Hiong.pdf
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author Wong, Chung Hiong
author_facet Wong, Chung Hiong
author_sort Wong, Chung Hiong
building UM Research Repository
collection Online Access
description Image analysis has gained popularity in the medical field as there are many illnesses which require X-rays, Computerized Tomography (CT) scans and Magnetic Resonance (MR) images in order to enable accurate diagnosis of diseases, physician education and future research. The images collected through CT scans and MR imaging techniques require a database for efficient storage, search and retrieval. Medical image indexing, storage and retrieval based on image content arc an important feature of image database system. This thesis explores the ability of Content-based image Retrieval (CBIR) as a retrieve method and development in the domain of medic imaging. Content-based image retrieval (CBIR) refers to the ability to retrieve image on the basis of image content. Query by Image Content (QBIC) tool in IBM DB2 UDB will be use to apply this queries technique. In order to query the image by content in QBIC. first must create QBIC catalog for the images to catalog the images (adding entries for the images to the catalog and storing values for image features). then built a query to retrieve the image. The CBIR technique will be an indispensable component of images database.
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spelling um-120592021-06-11T00:27:48Z CBIR for MR and CT images / Wong Chung Hiong Wong, Chung Hiong QA75 Electronic computers. Computer science Image analysis has gained popularity in the medical field as there are many illnesses which require X-rays, Computerized Tomography (CT) scans and Magnetic Resonance (MR) images in order to enable accurate diagnosis of diseases, physician education and future research. The images collected through CT scans and MR imaging techniques require a database for efficient storage, search and retrieval. Medical image indexing, storage and retrieval based on image content arc an important feature of image database system. This thesis explores the ability of Content-based image Retrieval (CBIR) as a retrieve method and development in the domain of medic imaging. Content-based image retrieval (CBIR) refers to the ability to retrieve image on the basis of image content. Query by Image Content (QBIC) tool in IBM DB2 UDB will be use to apply this queries technique. In order to query the image by content in QBIC. first must create QBIC catalog for the images to catalog the images (adding entries for the images to the catalog and storing values for image features). then built a query to retrieve the image. The CBIR technique will be an indispensable component of images database. 2005 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/12059/1/Wong_Chung_Hiong.pdf Wong, Chung Hiong (2005) CBIR for MR and CT images / Wong Chung Hiong. Undergraduates thesis, University of Malaya. http://studentsrepo.um.edu.my/12059/
spellingShingle QA75 Electronic computers. Computer science
Wong, Chung Hiong
CBIR for MR and CT images / Wong Chung Hiong
title CBIR for MR and CT images / Wong Chung Hiong
title_full CBIR for MR and CT images / Wong Chung Hiong
title_fullStr CBIR for MR and CT images / Wong Chung Hiong
title_full_unstemmed CBIR for MR and CT images / Wong Chung Hiong
title_short CBIR for MR and CT images / Wong Chung Hiong
title_sort cbir for mr and ct images / wong chung hiong
topic QA75 Electronic computers. Computer science
url http://studentsrepo.um.edu.my/12059/
http://studentsrepo.um.edu.my/12059/1/Wong_Chung_Hiong.pdf