Shape-based image retrieval using generic Fourier descriptor
Shape description is one of the key parts of image content description for image retrieval. Most of the existing shape descriptors are usually either application dependent or non-robust, making them undesirable for generic shape description. In this paper, a generic Fourier descriptor (GFD) is propo...
Gespeichert in:
| Veröffentlicht in: | Signal processing. Image communication 2002-11, Vol.17 (10), p.825-848 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 848 |
|---|---|
| container_issue | 10 |
| container_start_page | 825 |
| container_title | Signal processing. Image communication |
| container_volume | 17 |
| creator | Zhang, Dengsheng Lu, Guojun |
| description | Shape description is one of the key parts of image content description for image retrieval. Most of the existing shape descriptors are usually either application dependent or non-robust, making them undesirable for generic shape description. In this paper, a generic Fourier descriptor (GFD) is proposed to overcome the drawbacks of existing shape representation techniques. The proposed shape descriptor is derived by applying two-dimensional Fourier transform on a polar-raster sampled shape image. The acquired shape descriptor is application independent and robust. Experimental results show that the proposed GFD outperforms common contour-based and region-based shape descriptors. |
| doi_str_mv | 10.1016/S0923-5965(02)00084-X |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_27707240</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S092359650200084X</els_id><sourcerecordid>27707240</sourcerecordid><originalsourceid>FETCH-LOGICAL-c368t-6bd101115db4269661bbfb17d8b19b80c517e3fb0e55bd436987ce3d04640df83</originalsourceid><addsrcrecordid>eNqFkMtKxDAUhoMoOI4-gtCNootq0rRJA4LI4Kgw4GIUZhdyOR0jnbYm7YBvb-aCLl0dOHzn8n8InRN8QzBht3MsMpoWghVXOLvGGJd5ujhAI1JykWaM80M0-kWO0UkInxHKcixG6G7-oTpItQpgE7dSS0g89N7BWtXJEFyzTJbQgHcmmbZD7PvEQjDedX3rT9FRpeoAZ_s6Ru_Tx7fJczp7fXqZPMxSQ1nZp0zb-CchhdV5xgRjROtKE25LTYQusSkIB1ppDEWhbU6ZKLkBanHOcmyrko7R5W5v59uvAUIvVy4YqGvVQDsEmXGOecwTwWIHGt-G4KGSnY-h_LckWG5cya0ruREhcSa3ruQizl3sD6hgVF151RgX_obznApKeeTudxzEtOsoQwbjoDFgnQfTS9u6fy79ALUzfZQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>27707240</pqid></control><display><type>article</type><title>Shape-based image retrieval using generic Fourier descriptor</title><source>Elsevier ScienceDirect Journals</source><creator>Zhang, Dengsheng ; Lu, Guojun</creator><creatorcontrib>Zhang, Dengsheng ; Lu, Guojun</creatorcontrib><description>Shape description is one of the key parts of image content description for image retrieval. Most of the existing shape descriptors are usually either application dependent or non-robust, making them undesirable for generic shape description. In this paper, a generic Fourier descriptor (GFD) is proposed to overcome the drawbacks of existing shape representation techniques. The proposed shape descriptor is derived by applying two-dimensional Fourier transform on a polar-raster sampled shape image. The acquired shape descriptor is application independent and robust. Experimental results show that the proposed GFD outperforms common contour-based and region-based shape descriptors.</description><identifier>ISSN: 0923-5965</identifier><identifier>EISSN: 1879-2677</identifier><identifier>DOI: 10.1016/S0923-5965(02)00084-X</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Applied sciences ; CBIR ; Exact sciences and technology ; Fourier descriptor ; Image processing ; Information, signal and communications theory ; Retrieval ; Shape ; Signal processing ; Telecommunications and information theory</subject><ispartof>Signal processing. Image communication, 2002-11, Vol.17 (10), p.825-848</ispartof><rights>2002 Elsevier Science B.V.</rights><rights>2003 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-6bd101115db4269661bbfb17d8b19b80c517e3fb0e55bd436987ce3d04640df83</citedby><cites>FETCH-LOGICAL-c368t-6bd101115db4269661bbfb17d8b19b80c517e3fb0e55bd436987ce3d04640df83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S092359650200084X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14439337$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Dengsheng</creatorcontrib><creatorcontrib>Lu, Guojun</creatorcontrib><title>Shape-based image retrieval using generic Fourier descriptor</title><title>Signal processing. Image communication</title><description>Shape description is one of the key parts of image content description for image retrieval. Most of the existing shape descriptors are usually either application dependent or non-robust, making them undesirable for generic shape description. In this paper, a generic Fourier descriptor (GFD) is proposed to overcome the drawbacks of existing shape representation techniques. The proposed shape descriptor is derived by applying two-dimensional Fourier transform on a polar-raster sampled shape image. The acquired shape descriptor is application independent and robust. Experimental results show that the proposed GFD outperforms common contour-based and region-based shape descriptors.</description><subject>Applied sciences</subject><subject>CBIR</subject><subject>Exact sciences and technology</subject><subject>Fourier descriptor</subject><subject>Image processing</subject><subject>Information, signal and communications theory</subject><subject>Retrieval</subject><subject>Shape</subject><subject>Signal processing</subject><subject>Telecommunications and information theory</subject><issn>0923-5965</issn><issn>1879-2677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><recordid>eNqFkMtKxDAUhoMoOI4-gtCNootq0rRJA4LI4Kgw4GIUZhdyOR0jnbYm7YBvb-aCLl0dOHzn8n8InRN8QzBht3MsMpoWghVXOLvGGJd5ujhAI1JykWaM80M0-kWO0UkInxHKcixG6G7-oTpItQpgE7dSS0g89N7BWtXJEFyzTJbQgHcmmbZD7PvEQjDedX3rT9FRpeoAZ_s6Ru_Tx7fJczp7fXqZPMxSQ1nZp0zb-CchhdV5xgRjROtKE25LTYQusSkIB1ppDEWhbU6ZKLkBanHOcmyrko7R5W5v59uvAUIvVy4YqGvVQDsEmXGOecwTwWIHGt-G4KGSnY-h_LckWG5cya0ruREhcSa3ruQizl3sD6hgVF151RgX_obznApKeeTudxzEtOsoQwbjoDFgnQfTS9u6fy79ALUzfZQ</recordid><startdate>20021101</startdate><enddate>20021101</enddate><creator>Zhang, Dengsheng</creator><creator>Lu, Guojun</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20021101</creationdate><title>Shape-based image retrieval using generic Fourier descriptor</title><author>Zhang, Dengsheng ; Lu, Guojun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-6bd101115db4269661bbfb17d8b19b80c517e3fb0e55bd436987ce3d04640df83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Applied sciences</topic><topic>CBIR</topic><topic>Exact sciences and technology</topic><topic>Fourier descriptor</topic><topic>Image processing</topic><topic>Information, signal and communications theory</topic><topic>Retrieval</topic><topic>Shape</topic><topic>Signal processing</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Dengsheng</creatorcontrib><creatorcontrib>Lu, Guojun</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Signal processing. Image communication</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Dengsheng</au><au>Lu, Guojun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Shape-based image retrieval using generic Fourier descriptor</atitle><jtitle>Signal processing. Image communication</jtitle><date>2002-11-01</date><risdate>2002</risdate><volume>17</volume><issue>10</issue><spage>825</spage><epage>848</epage><pages>825-848</pages><issn>0923-5965</issn><eissn>1879-2677</eissn><abstract>Shape description is one of the key parts of image content description for image retrieval. Most of the existing shape descriptors are usually either application dependent or non-robust, making them undesirable for generic shape description. In this paper, a generic Fourier descriptor (GFD) is proposed to overcome the drawbacks of existing shape representation techniques. The proposed shape descriptor is derived by applying two-dimensional Fourier transform on a polar-raster sampled shape image. The acquired shape descriptor is application independent and robust. Experimental results show that the proposed GFD outperforms common contour-based and region-based shape descriptors.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/S0923-5965(02)00084-X</doi><tpages>24</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0923-5965 |
| ispartof | Signal processing. Image communication, 2002-11, Vol.17 (10), p.825-848 |
| issn | 0923-5965 1879-2677 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_27707240 |
| source | Elsevier ScienceDirect Journals |
| subjects | Applied sciences CBIR Exact sciences and technology Fourier descriptor Image processing Information, signal and communications theory Retrieval Shape Signal processing Telecommunications and information theory |
| title | Shape-based image retrieval using generic Fourier descriptor |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T14%3A35%3A04IST&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=Shape-based%20image%20retrieval%20using%20generic%20Fourier%20descriptor&rft.jtitle=Signal%20processing.%20Image%20communication&rft.au=Zhang,%20Dengsheng&rft.date=2002-11-01&rft.volume=17&rft.issue=10&rft.spage=825&rft.epage=848&rft.pages=825-848&rft.issn=0923-5965&rft.eissn=1879-2677&rft_id=info:doi/10.1016/S0923-5965(02)00084-X&rft_dat=%3Cproquest_cross%3E27707240%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=27707240&rft_id=info:pmid/&rft_els_id=S092359650200084X&rfr_iscdi=true |