Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/49413
Title: Efficient technique for color image segmentation towards the enhancement of image retrieval
Researcher: Mythili C
Guide(s): Kavitha V
Keywords: Content based image retrieval
Image retrieval
Image segmentation
Information and communication engineering
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Upload Date: 11-Sep-2015
University: Anna University
Completed Date: 01/10/2014
Abstract: Content Based Image Retrieval CBIR system performs search and retrieval operations in image database that has been developed in recent years CBIR has a very vital impact in web application The main objective of this thesis work is to increase the accuracy level of image retrieval Since the image database is very huge more attention has to be given during retrieval process in i the quality of the image ii features that are to be selected for newlineimage retrieval iii object detection methodology and iv enhancement in the retrieval process The above said processes are analyzed in four chapters and are as follows Since the retrieval process is based on web applications where the color images are available on the internet reduction of additive noise for digital color images is important and is performed in chapter 3 From the literature till recent publications it is found that wavelet based fuzzy filter suppresses the noise very well by keeping its features intact eg edge color components distances and so on The visual results illustrate that the wavelet newlinebased fuzzy filter method restores the original color components distances much better than other filters like median wiener linear smoothing filters and so on In this research work wavelet based fuzzy filter is used newline
Pagination: xxii, 156p.
URI: http://hdl.handle.net/10603/49413
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File96.79 kBAdobe PDFView/Open
02_certificates.pdf1.91 MBAdobe PDFView/Open
03_abstract.pdf19.72 kBAdobe PDFView/Open
04_acknowledgement.pdf6.12 kBAdobe PDFView/Open
05_contents.pdf77.02 kBAdobe PDFView/Open
06_chapter1.pdf40.12 kBAdobe PDFView/Open
07_chapter2.pdf96.24 kBAdobe PDFView/Open
08_chapter3.pdf3.18 MBAdobe PDFView/Open
09_chapter4.pdf2.34 MBAdobe PDFView/Open
10_chapter5.pdf2.53 MBAdobe PDFView/Open
11_chapter6.pdf38.95 MBAdobe PDFView/Open
12_chapter7.pdf11.92 kBAdobe PDFView/Open
13_references.pdf267.37 kBAdobe PDFView/Open
14_publications.pdf17.46 kBAdobe PDFView/Open


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