Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/22209
Title: Magnetic Resonance images classifications using image mining and content based image retrieval methodologies
Researcher: Kannan, A
Guide(s): Mohan, V
Keywords: Content Based Image Retrieval
Image Mining
Magnetic Resonance Images
Malignant Physicians
MRI
Upload Date: 6-Aug-2014
University: Anna University
Completed Date: n.d.
Abstract: Nowadays people are very much interested in the concepts of newlinedigitized world They would like to keep their data in such format Generally newlinethe word image plays a major role in all aspects Every day huge numbers newlineof images are being created in all fields like Engineering Medical Business newlineResearch development and Arts Unfortunately there are certain newlinedifficulties to process those data in a correct way If users are able to process newlinein a right way they can give useful information to the departments concerned newlineParticularly the medical field can be benefitted a lot The medical field is the newlineone which plays a vital role in protecting the lives of human beings newlineSeveral kinds of images are being generated at regular intervals in newlinethe field of medicine in order to diagnose human diseases Especially newlineMagnetic Resonance Images MRIs are used very effectively This MRI newlineplays a dominant role to diagnose tumor conditions in human brain In newlinegeneral the tumor stages are Normal Benign and Malignant newlinePhysicians find it very difficult to identify the formation of tumor conditions newlineand they try to consult the experts and specialists in the field to take necessary newlineremedial actions They are completely dependent on other experts They cant newlineact independently without the consultant opinion of third party Hence there newlineis a need to develop a computerized system which can automatically analyze newlinethe stages of tumor conditions and can assist the physicians to take necessary newlineremedial actions without delay newlineIn this research work the concepts of Image Mining and Content Based newlineImage Retrieval CBIR have been merged to support and assist the medical newlinefield Both of these two concepts are distinct in general Image mining deals newlinewith the extraction of potential hidden information from large collection of newlinegeneral digital images The CBIR is used to retrieve the desired image from newlinethe image database based on the selected contents of given query image newline
Pagination: xvi,163p.
URI: http://hdl.handle.net/10603/22209
Appears in Departments:Faculty of Science and Humanities

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File318.05 kBAdobe PDFView/Open
02_certificate.pdf6.02 MBAdobe PDFView/Open
03_abstract.pdf60.56 kBAdobe PDFView/Open
04_acknowledgement.pdf302.2 kBAdobe PDFView/Open
05_contents.pdf2 MBAdobe PDFView/Open
06_chapter 1.pdf14.28 MBAdobe PDFView/Open
07_chapter 2.pdf5.64 MBAdobe PDFView/Open
08_chapter 3.pdf24.72 MBAdobe PDFView/Open
09_chapter 4.pdf39.29 MBAdobe PDFView/Open
10_chapter 5.pdf20.92 MBAdobe PDFView/Open
11_chapter 6.pdf1.01 MBAdobe PDFView/Open
12_appendix.pdf9.44 MBAdobe PDFView/Open
13_reference.pdf1.9 MBAdobe PDFView/Open
14_publications.pdf749.13 kBAdobe PDFView/Open
15_vitae.pdf350.41 kBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.