An efficient content based image retrieval using advanced filter approaches
In general the users are in need to retrieve images from a collection of database images from variety of domains. In earlier phase this need was satisfied by retrieving the relevant images from different database simply. Where there is a bottleneck that the images retrieved was not relevant much to...
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Veröffentlicht in: | International arab journal of information technology 2015, Vol.12 (3) |
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container_title | International arab journal of information technology |
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creator | Subramanian, Manoharan Sathappan, Sathappan |
description | In general the users are in need to retrieve images from a collection of database images from variety of domains.
In earlier phase this need was satisfied by retrieving the relevant images from different database simply. Where there is a
bottleneck that the images retrieved was not relevant much to the user query because the images were not retrieved based
on content where another drawback is that the manual searching time is increased. To avoid this Content - Based Image
Retrieval (CBIR) is developed it is a technique for retrieving images on the basis of automatically - derived features such
as colour, texture and shape of images. To provide a best result in proposed work we are implementing high level filtering
where we are using the Anisotropic Morphological Filters, hierarchical Kaman filter and particle filter proceeding
with feature extraction method based on color and gray level feature and after this the results were normalized. |
format | Article |
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In earlier phase this need was satisfied by retrieving the relevant images from different database simply. Where there is a
bottleneck that the images retrieved was not relevant much to the user query because the images were not retrieved based
on content where another drawback is that the manual searching time is increased. To avoid this Content - Based Image
Retrieval (CBIR) is developed it is a technique for retrieving images on the basis of automatically - derived features such
as colour, texture and shape of images. To provide a best result in proposed work we are implementing high level filtering
where we are using the Anisotropic Morphological Filters, hierarchical Kaman filter and particle filter proceeding
with feature extraction method based on color and gray level feature and after this the results were normalized.</description><identifier>ISSN: 1683-3198</identifier><identifier>EISSN: 1683-3198</identifier><language>eng</language><publisher>Zarqa, Jordan: Zarqa University</publisher><subject>Content-based image retrieval ; Digital techniques ; Image processing ; Pattern recognition systems ; استرجاع المعلومات ; الإلكترونيات الرقمية</subject><ispartof>International arab journal of information technology, 2015, Vol.12 (3)</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024</link.rule.ids></links><search><creatorcontrib>Subramanian, Manoharan</creatorcontrib><creatorcontrib>Sathappan, Sathappan</creatorcontrib><title>An efficient content based image retrieval using advanced filter approaches</title><title>International arab journal of information technology</title><description>In general the users are in need to retrieve images from a collection of database images from variety of domains.
In earlier phase this need was satisfied by retrieving the relevant images from different database simply. Where there is a
bottleneck that the images retrieved was not relevant much to the user query because the images were not retrieved based
on content where another drawback is that the manual searching time is increased. To avoid this Content - Based Image
Retrieval (CBIR) is developed it is a technique for retrieving images on the basis of automatically - derived features such
as colour, texture and shape of images. To provide a best result in proposed work we are implementing high level filtering
where we are using the Anisotropic Morphological Filters, hierarchical Kaman filter and particle filter proceeding
with feature extraction method based on color and gray level feature and after this the results were normalized.</description><subject>Content-based image retrieval</subject><subject>Digital techniques</subject><subject>Image processing</subject><subject>Pattern recognition systems</subject><subject>استرجاع المعلومات</subject><subject>الإلكترونيات الرقمية</subject><issn>1683-3198</issn><issn>1683-3198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNpNjs1KAzEUhYMoWGofQcgLDGSSTH6WpfiHBTe6Lre5NzUyTYckFnx7R3Th2XwHPjicC7bojVOd6r27_Nev2arWDzFHeWmsXbDndeYUYwqJcuPhlNsP91AJeTrCgXihVhKdYeSfNeUDBzxDDrOOaWxUOExTOUF4p3rDriKMlVZ_XLK3-7vXzWO3fXl42qy3HfXWtm4AoAB60KRAOoHKGm9kJKclCED0ICz2KINHG0mi8zoYGPbgZusdqSW7_d2lIxSKsJvKfLV87bQSfjDqG9AQSjE</recordid><startdate>2015</startdate><enddate>2015</enddate><creator>Subramanian, Manoharan</creator><creator>Sathappan, Sathappan</creator><general>Zarqa University</general><scope>ADJCN</scope><scope>AGZBS</scope><scope>AHFXO</scope></search><sort><creationdate>2015</creationdate><title>An efficient content based image retrieval using advanced filter approaches</title><author>Subramanian, Manoharan ; Sathappan, Sathappan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-e177t-5aaeca454e3a280d376962fe842a0add9a07d1d2c9d7fe2d894c6a5ba80ad98e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Content-based image retrieval</topic><topic>Digital techniques</topic><topic>Image processing</topic><topic>Pattern recognition systems</topic><topic>استرجاع المعلومات</topic><topic>الإلكترونيات الرقمية</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Subramanian, Manoharan</creatorcontrib><creatorcontrib>Sathappan, Sathappan</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>قاعدة العلوم الاجتماعية - e-Marefa Social Sciences</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><jtitle>International arab journal of information technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Subramanian, Manoharan</au><au>Sathappan, Sathappan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An efficient content based image retrieval using advanced filter approaches</atitle><jtitle>International arab journal of information technology</jtitle><date>2015</date><risdate>2015</risdate><volume>12</volume><issue>3</issue><issn>1683-3198</issn><eissn>1683-3198</eissn><abstract>In general the users are in need to retrieve images from a collection of database images from variety of domains.
In earlier phase this need was satisfied by retrieving the relevant images from different database simply. Where there is a
bottleneck that the images retrieved was not relevant much to the user query because the images were not retrieved based
on content where another drawback is that the manual searching time is increased. To avoid this Content - Based Image
Retrieval (CBIR) is developed it is a technique for retrieving images on the basis of automatically - derived features such
as colour, texture and shape of images. To provide a best result in proposed work we are implementing high level filtering
where we are using the Anisotropic Morphological Filters, hierarchical Kaman filter and particle filter proceeding
with feature extraction method based on color and gray level feature and after this the results were normalized.</abstract><cop>Zarqa, Jordan</cop><pub>Zarqa University</pub><tpages>8</tpages></addata></record> |
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ispartof | International arab journal of information technology, 2015, Vol.12 (3) |
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language | eng |
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source | EZB-FREE-00999 freely available EZB journals |
subjects | Content-based image retrieval Digital techniques Image processing Pattern recognition systems استرجاع المعلومات الإلكترونيات الرقمية |
title | An efficient content based image retrieval using advanced filter approaches |
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