The Application of Evolutionary Algorithm to Image Fusion
This paper presents a novel evolutionary algorithm to image fusion. An original image is divided into blocks with fixed size. According to the idea of the evolutionary algorithm, the image is analyzed using fractal dimension to attain its feature blocks containing edges and textures that are used in...
Gespeichert in:
Veröffentlicht in: | Key engineering materials 2010-01, Vol.439-440, p.1075-1080 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1080 |
---|---|
container_issue | |
container_start_page | 1075 |
container_title | Key engineering materials |
container_volume | 439-440 |
creator | Zhu, Geng Ming |
description | This paper presents a novel evolutionary algorithm to image fusion. An original image is divided into blocks with fixed size. According to the idea of the evolutionary algorithm, the image is analyzed using fractal dimension to attain its feature blocks containing edges and textures that are used in the later embedding process and used to form a feature label. The evolutionary algorithm that is the fusion of the feature label and a binary copyright symbol not only represents the copyright symbol, but also reflects the feature of the image. The evolutionary algorithm that is adaptive to the individual image is embedded into the relations between middle-frequency coefficients and corresponding DC coefficients. Experimental results show that this evolutionary algorithm can get good perceptual invisibility, adaptability and security. |
doi_str_mv | 10.4028/www.scientific.net/KEM.439-440.1075 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_753660013</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>753660013</sourcerecordid><originalsourceid>FETCH-LOGICAL-c309t-d01a13d300e42b5ab620b3b3e948802dc357b63f0408c134544fd4bb29841cc43</originalsourceid><addsrcrecordid>eNqVkMtOwzAQRS0EEqXwD9mxQEnHsfPwsqpSqChiU9aW4zitqyQOtkPF3-OqSKxZzYzm6kj3IPSEIaGQlovT6ZQ4qdXgdatlMii_eK3eEkpYTCkkGIrsCs1wnqcxK1h2HXbAJGZlmt-iO-eOAASXOJshtjuoaDmOnZbCazNEpo2qL9NN50PY72jZ7Y3V_tBH3kSbXuxVtJ5ceN6jm1Z0Tj38zjn6WFe71Uu8fX_erJbbWBJgPm4AC0waAqBoWmeizlOoSU0Uo2UJaSNJVtQ5aYFCKTGhGaVtQ-s6ZSXFUlIyR48X7mjN56Sc5712UnWdGJSZHC8ykucQ6oXk6pKU1jhnVctHq_tQgmPgZ288eON_3njwxoM3Hrzx4I2fvQVKdaF4KwbnlTzwo5nsEDr-i_MDkhl_7w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>753660013</pqid></control><display><type>article</type><title>The Application of Evolutionary Algorithm to Image Fusion</title><source>Scientific.net Journals</source><creator>Zhu, Geng Ming</creator><creatorcontrib>Zhu, Geng Ming</creatorcontrib><description>This paper presents a novel evolutionary algorithm to image fusion. An original image is divided into blocks with fixed size. According to the idea of the evolutionary algorithm, the image is analyzed using fractal dimension to attain its feature blocks containing edges and textures that are used in the later embedding process and used to form a feature label. The evolutionary algorithm that is the fusion of the feature label and a binary copyright symbol not only represents the copyright symbol, but also reflects the feature of the image. The evolutionary algorithm that is adaptive to the individual image is embedded into the relations between middle-frequency coefficients and corresponding DC coefficients. Experimental results show that this evolutionary algorithm can get good perceptual invisibility, adaptability and security.</description><identifier>ISSN: 1013-9826</identifier><identifier>ISSN: 1662-9795</identifier><identifier>EISSN: 1662-9795</identifier><identifier>DOI: 10.4028/www.scientific.net/KEM.439-440.1075</identifier><language>eng</language><publisher>Trans Tech Publications Ltd</publisher><subject>Adaptive algorithms ; Copyrights ; Direct current ; Evolutionary algorithms ; Fractal analysis ; Fractals ; Labels ; Security ; Surface layer ; Symbols ; Texture ; Visibility</subject><ispartof>Key engineering materials, 2010-01, Vol.439-440, p.1075-1080</ispartof><rights>2010 Trans Tech Publications Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c309t-d01a13d300e42b5ab620b3b3e948802dc357b63f0408c134544fd4bb29841cc43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/930?width=600</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Zhu, Geng Ming</creatorcontrib><title>The Application of Evolutionary Algorithm to Image Fusion</title><title>Key engineering materials</title><description>This paper presents a novel evolutionary algorithm to image fusion. An original image is divided into blocks with fixed size. According to the idea of the evolutionary algorithm, the image is analyzed using fractal dimension to attain its feature blocks containing edges and textures that are used in the later embedding process and used to form a feature label. The evolutionary algorithm that is the fusion of the feature label and a binary copyright symbol not only represents the copyright symbol, but also reflects the feature of the image. The evolutionary algorithm that is adaptive to the individual image is embedded into the relations between middle-frequency coefficients and corresponding DC coefficients. Experimental results show that this evolutionary algorithm can get good perceptual invisibility, adaptability and security.</description><subject>Adaptive algorithms</subject><subject>Copyrights</subject><subject>Direct current</subject><subject>Evolutionary algorithms</subject><subject>Fractal analysis</subject><subject>Fractals</subject><subject>Labels</subject><subject>Security</subject><subject>Surface layer</subject><subject>Symbols</subject><subject>Texture</subject><subject>Visibility</subject><issn>1013-9826</issn><issn>1662-9795</issn><issn>1662-9795</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqVkMtOwzAQRS0EEqXwD9mxQEnHsfPwsqpSqChiU9aW4zitqyQOtkPF3-OqSKxZzYzm6kj3IPSEIaGQlovT6ZQ4qdXgdatlMii_eK3eEkpYTCkkGIrsCs1wnqcxK1h2HXbAJGZlmt-iO-eOAASXOJshtjuoaDmOnZbCazNEpo2qL9NN50PY72jZ7Y3V_tBH3kSbXuxVtJ5ceN6jm1Z0Tj38zjn6WFe71Uu8fX_erJbbWBJgPm4AC0waAqBoWmeizlOoSU0Uo2UJaSNJVtQ5aYFCKTGhGaVtQ-s6ZSXFUlIyR48X7mjN56Sc5712UnWdGJSZHC8ykucQ6oXk6pKU1jhnVctHq_tQgmPgZ288eON_3njwxoM3Hrzx4I2fvQVKdaF4KwbnlTzwo5nsEDr-i_MDkhl_7w</recordid><startdate>20100101</startdate><enddate>20100101</enddate><creator>Zhu, Geng Ming</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>20100101</creationdate><title>The Application of Evolutionary Algorithm to Image Fusion</title><author>Zhu, Geng Ming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c309t-d01a13d300e42b5ab620b3b3e948802dc357b63f0408c134544fd4bb29841cc43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adaptive algorithms</topic><topic>Copyrights</topic><topic>Direct current</topic><topic>Evolutionary algorithms</topic><topic>Fractal analysis</topic><topic>Fractals</topic><topic>Labels</topic><topic>Security</topic><topic>Surface layer</topic><topic>Symbols</topic><topic>Texture</topic><topic>Visibility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, Geng Ming</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Key engineering materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhu, Geng Ming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Application of Evolutionary Algorithm to Image Fusion</atitle><jtitle>Key engineering materials</jtitle><date>2010-01-01</date><risdate>2010</risdate><volume>439-440</volume><spage>1075</spage><epage>1080</epage><pages>1075-1080</pages><issn>1013-9826</issn><issn>1662-9795</issn><eissn>1662-9795</eissn><abstract>This paper presents a novel evolutionary algorithm to image fusion. An original image is divided into blocks with fixed size. According to the idea of the evolutionary algorithm, the image is analyzed using fractal dimension to attain its feature blocks containing edges and textures that are used in the later embedding process and used to form a feature label. The evolutionary algorithm that is the fusion of the feature label and a binary copyright symbol not only represents the copyright symbol, but also reflects the feature of the image. The evolutionary algorithm that is adaptive to the individual image is embedded into the relations between middle-frequency coefficients and corresponding DC coefficients. Experimental results show that this evolutionary algorithm can get good perceptual invisibility, adaptability and security.</abstract><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/KEM.439-440.1075</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1013-9826 |
ispartof | Key engineering materials, 2010-01, Vol.439-440, p.1075-1080 |
issn | 1013-9826 1662-9795 1662-9795 |
language | eng |
recordid | cdi_proquest_miscellaneous_753660013 |
source | Scientific.net Journals |
subjects | Adaptive algorithms Copyrights Direct current Evolutionary algorithms Fractal analysis Fractals Labels Security Surface layer Symbols Texture Visibility |
title | The Application of Evolutionary Algorithm to Image Fusion |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T09%3A43%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Application%20of%20Evolutionary%20Algorithm%20to%20Image%20Fusion&rft.jtitle=Key%20engineering%20materials&rft.au=Zhu,%20Geng%20Ming&rft.date=2010-01-01&rft.volume=439-440&rft.spage=1075&rft.epage=1080&rft.pages=1075-1080&rft.issn=1013-9826&rft.eissn=1662-9795&rft_id=info:doi/10.4028/www.scientific.net/KEM.439-440.1075&rft_dat=%3Cproquest_cross%3E753660013%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=753660013&rft_id=info:pmid/&rfr_iscdi=true |