Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/305975
Title: Enhancement of Content Based Image Retrieval Algorithms for Digital Images
Researcher: Elizabeth Jesi.V
Guide(s): Govindarajan.S
Keywords: Computer Science
Computer Science Hardware and Architecture
Engineering and Technology
University: SRM University
Completed Date: 2020
Abstract: In recent times, the use of digital images has become increasingly popular in the fields of medicine, scientific experimentation, education etc. Hospitals and Medical colleges create large numbers of digital images such as X-ray, Mammogram and Magnetic Resonance Imaging (MRI) as part of their daily routine. Interpreting medical images is certainly a complex task that requires extensive knowledge. Image retrieval is a key requirement for these domains. Researchers have introduced several methods for processing image databases. Techniques for this include; Sorting, searching, browsing and retrieving images. The conventional image retrieval schemes define the image with text, then uses text information to retrieve images from a text-based database management system. This method has lot of demerits; it utilizes keywords connected with images to retrieve visual information. It is very tedious and time consuming. To solve this problem, Content Based Image Retrieval (CBIR) system is introduced. The CBIR system automatically retrieves the required images from medical image databases by extracting the visual content of the features. However, the efficiency of image retrieval systems is challenging issue. In order to retrieve the related images with higher accuracy the proposed system is introduced using advanced image retrieval methods newline
Pagination: 
URI: http://hdl.handle.net/10603/305975
Appears in Departments:Department of Computer Science Engineering

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80_recommendation.pdfAttached File88.93 kBAdobe PDFView/Open
abstract.pdf57.64 kBAdobe PDFView/Open
acknowledgement.pdf55.24 kBAdobe PDFView/Open
chapter 1.pdf201.04 kBAdobe PDFView/Open
chapter 2.pdf214.42 kBAdobe PDFView/Open
chapter 3.pdf340.66 kBAdobe PDFView/Open
chapter 4.pdf318.93 kBAdobe PDFView/Open
chapter 5.pdf754.78 kBAdobe PDFView/Open
chapter 6.pdf58.39 kBAdobe PDFView/Open
declaration.pdf59.83 kBAdobe PDFView/Open
list of publications.pdf52.51 kBAdobe PDFView/Open
preliminary pages.pdf136.11 kBAdobe PDFView/Open
references.pdf113.3 kBAdobe PDFView/Open
title.pdf41.53 kBAdobe PDFView/Open
vitae.pdf52.65 kBAdobe PDFView/Open


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