Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/238196
Title: Content based image retrieval using novel gaussian fuzzy feed forward neural network
Researcher: Maniar Swity Mukeshbhai
Guide(s): Shah Jagdish S Patel Kajal
Keywords: Engineering and Technology,Computer Science,Computer Science Information Systems
University: Gujarat Technological University
Completed Date: 29/03/2019
Abstract: quotThis thesis presents research work related to Content Based Image Retrieval with focus on medical images. This is an extension to search based on text query wherein images are applied as text query. This works extends to image based query. newline newlineThis study handles the problem related to the difficulty of handling high level image content from low level image features. Retrieval method based on relevance feedback require human interaction. newline newlineThe proposed approach uses fusion of texture and shape features. Texture features used were mean, variance, standard deviation, contrast, energy etc. whereas shape features used are area, perimeter, circularity, aspect ratio etc. Euclidean and Manhattan distance were used to extract relevant images from database. Successively artificial neural network was applied for image classification. newline newlineThe proposed approach with composite features was experimentally compared with existing approach on dataset of 250 images and was found effective and superior for medical classification. newline newline
Pagination: x, 163 p.
URI: http://hdl.handle.net/10603/238196
Appears in Departments:Computer/IT Engineering

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01_title.pdfAttached File19.22 kBAdobe PDFView/Open
02_declaration.pdf124.2 kBAdobe PDFView/Open
03_certificate.pdf534.55 kBAdobe PDFView/Open
04_abstract.pdf6.15 kBAdobe PDFView/Open
05_acknowledgement.pdf126.39 kBAdobe PDFView/Open
06_table of content.pdf599.58 kBAdobe PDFView/Open
07_list of abbreviations.pdf8.01 kBAdobe PDFView/Open
08_list of tables.pdf76.71 kBAdobe PDFView/Open
09_list of figures.pdf271.51 kBAdobe PDFView/Open
10_chapter 1.pdf473.08 kBAdobe PDFView/Open
11_chapter 2.pdf1.73 MBAdobe PDFView/Open
12_chapter 3.pdf371.15 kBAdobe PDFView/Open
13_chapter 4.pdf662.82 kBAdobe PDFView/Open
14_chapter 5.pdf3.13 MBAdobe PDFView/Open
15_chapter 6.pdf129.75 kBAdobe PDFView/Open
16_refrerence.pdf181.54 kBAdobe PDFView/Open


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