Shape based image retrieval using hybrid legendre moments, moment invariants and fuzzy logic technique

Shape is one of the most important features used for Content Based Image Retrieva(CBIR). As compared to its other counterparts such as the color and texture features,shape plays an important part in the recognition of objects by human beings and it is also utilized in Shape Based Image Retrieval (S...

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Main Author:	Kong, Kok Wah
Format:	Thesis
Language:	English
Subjects:	TR 594 .K6 2009 Image processing > Digital techniques Content-based image retrieval
Online Access:	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/685/1/TR%20594%20.K6%202009%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/685/2/TR%20594%20.K6%202009.pdf
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id	my-umt-ir.-685
record_format	uketd_dc
spelling	my-umt-ir.-6852016-03-10T09:13:43Z Shape based image retrieval using hybrid legendre moments, moment invariants and fuzzy logic technique Kong, Kok Wah Shape is one of the most important features used for Content Based Image Retrieva(CBIR). As compared to its other counterparts such as the color and texture features,shape plays an important part in the recognition of objects by human beings and it is also utilized in Shape Based Image Retrieval (SBIR). The problems in SBIR are normally with its shape based descriptors. Therefore in this study, the problems of the low image retrieval ability in moment invariants and the inability of being rotation invariant for Legendre moments were tackled. Besides that, this study only focuses on the SBIR of binary shape images and the methods employed were region based shape descriptors namely Legendre moments and moment invariants. Moreover, in this thesis, a wide range of comparative study for SBIR using Legendre moments and moment invariants were done. Extensive experiments were carried out by using the 12 randomly selected query images from a database which consist of 1008 shape binary images. Fakulti Sains dan Teknologi 2009-05 Thesis en http://hdl.handle.net/123456789/685 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/685/1/TR%20594%20.K6%202009%20Abstract.pdf 6c53ce7be544330a0efea8e334be4d4f http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/685/2/TR%20594%20.K6%202009.pdf 8f83e603521f80d918eb81db989a008c http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/685/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/685/4/TR%20594%20.K6%202009%20Abstract.pdf.txt 271662cc7141b87831cabf0c1c9963cd http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/685/5/TR%20594%20.K6%202009.pdf.txt 91ca42316f68a9c9611c9c5e1b0ad711 TR 594 .K6 2009 Kong, Kok Wah Shape based image retrieval using hybrid legendre moments, moment invariants and fuzzy logic technique Image processing -- Digital techniques Content-based image retrieval
institution	Universiti Malaysia Terengganu
collection	UMT Repository System
language	English
topic	TR 594 .K6 2009 TR 594 .K6 2009 TR 594 .K6 2009 Image processing -- Digital techniques Content-based image retrieval
spellingShingle	TR 594 .K6 2009 TR 594 .K6 2009 TR 594 .K6 2009 Image processing -- Digital techniques Content-based image retrieval Kong, Kok Wah Shape based image retrieval using hybrid legendre moments, moment invariants and fuzzy logic technique
description	Shape is one of the most important features used for Content Based Image Retrieva(CBIR). As compared to its other counterparts such as the color and texture features,shape plays an important part in the recognition of objects by human beings and it is also utilized in Shape Based Image Retrieval (SBIR). The problems in SBIR are normally with its shape based descriptors. Therefore in this study, the problems of the low image retrieval ability in moment invariants and the inability of being rotation invariant for Legendre moments were tackled. Besides that, this study only focuses on the SBIR of binary shape images and the methods employed were region based shape descriptors namely Legendre moments and moment invariants. Moreover, in this thesis, a wide range of comparative study for SBIR using Legendre moments and moment invariants were done. Extensive experiments were carried out by using the 12 randomly selected query images from a database which consist of 1008 shape binary images.
format	Thesis
author	Kong, Kok Wah
author_facet	Kong, Kok Wah
author_sort	Kong, Kok Wah
title	Shape based image retrieval using hybrid legendre moments, moment invariants and fuzzy logic technique
title_short	Shape based image retrieval using hybrid legendre moments, moment invariants and fuzzy logic technique
title_full	Shape based image retrieval using hybrid legendre moments, moment invariants and fuzzy logic technique
title_fullStr	Shape based image retrieval using hybrid legendre moments, moment invariants and fuzzy logic technique
title_full_unstemmed	Shape based image retrieval using hybrid legendre moments, moment invariants and fuzzy logic technique
title_sort	shape based image retrieval using hybrid legendre moments, moment invariants and fuzzy logic technique
granting_institution	Fakulti Sains dan Teknologi
url	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/685/1/TR%20594%20.K6%202009%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/685/2/TR%20594%20.K6%202009.pdf
_version_	1747835804889120768

Shape based image retrieval using hybrid legendre moments, moment invariants and fuzzy logic technique

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