An application of fuzzy set theory for an electronic video camera image stabilizer
An electronic video camera image stabilizer has been developed which eliminates a substantial part of the image instability caused by the involuntary movement of camera holders. For the discrimination between image movement caused by unstable hand-holding and that of moving objects, fuzzy set theory...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on fuzzy systems 1995-08, Vol.3 (3), p.351-356 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 356 |
---|---|
container_issue | 3 |
container_start_page | 351 |
container_title | IEEE transactions on fuzzy systems |
container_volume | 3 |
creator | Egusa, Y. Akahori, H. Morimura, A. Wakami, N. |
description | An electronic video camera image stabilizer has been developed which eliminates a substantial part of the image instability caused by the involuntary movement of camera holders. For the discrimination between image movement caused by unstable hand-holding and that of moving objects, fuzzy set theory is applied through the following process: 1) dividing the image taken by the camera into four regions, 2) providing two signals to discriminate between the causes of image instability, 3) evaluating these two discriminating signals after they are transformed into reliability values by membership functions, and 4) tuning the membership functions using a simplex method. This image stabilizer has been incorporated into a new compact video camera, and its substantially improved field performance has been confirmed.< > |
doi_str_mv | 10.1109/91.413239 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_28477528</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>413239</ieee_id><sourcerecordid>28477528</sourcerecordid><originalsourceid>FETCH-LOGICAL-c306t-d75e8d7dec34c33f1e2354282d4f6636cb3d71b2c489794eb391367cf2559cea3</originalsourceid><addsrcrecordid>eNo9kE1LxDAQhoMouK4evHrKQQQPXfPVpDku4hcsCKLnkqYTjXSbmmSF3V9vpcueZmCeeXh5EbqkZEEp0XeaLgTljOsjNKNa0IIQLo7HnUheSEXkKTpL6ZsQKkpazdDbssdmGDpvTfahx8Fht9nttjhBxvkLQtxiFyI2PYYObI6h9xb_-hYCtmYN0WC_Np-AUzaN7_wO4jk6caZLcLGfc_Tx-PB-_1ysXp9e7perwnIic9GqEqpWtWC5sJw7CoyXglWsFU5KLm3DW0UbZkWllRbQcE25VNaxstQWDJ-jm8k7xPCzgZTrtU8Wus70EDapZpVQqmTVCN5OoI0hpQiuHuIYOm5rSur_1mpN66m1kb3eS02ypnPR9Nanw8MYQFNGRuxqwjwAHK57xx_zhXPu</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>28477528</pqid></control><display><type>article</type><title>An application of fuzzy set theory for an electronic video camera image stabilizer</title><source>IEEE Electronic Library (IEL)</source><creator>Egusa, Y. ; Akahori, H. ; Morimura, A. ; Wakami, N.</creator><creatorcontrib>Egusa, Y. ; Akahori, H. ; Morimura, A. ; Wakami, N.</creatorcontrib><description>An electronic video camera image stabilizer has been developed which eliminates a substantial part of the image instability caused by the involuntary movement of camera holders. For the discrimination between image movement caused by unstable hand-holding and that of moving objects, fuzzy set theory is applied through the following process: 1) dividing the image taken by the camera into four regions, 2) providing two signals to discriminate between the causes of image instability, 3) evaluating these two discriminating signals after they are transformed into reliability values by membership functions, and 4) tuning the membership functions using a simplex method. This image stabilizer has been incorporated into a new compact video camera, and its substantially improved field performance has been confirmed.< ></description><identifier>ISSN: 1063-6706</identifier><identifier>EISSN: 1941-0034</identifier><identifier>DOI: 10.1109/91.413239</identifier><identifier>CODEN: IEFSEV</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Cameras ; Exact sciences and technology ; Fuzzy set theory ; Image converters ; Image processing ; Information, signal and communications theory ; Optimization methods ; Reliability theory ; Signal processing ; Telecommunications and information theory</subject><ispartof>IEEE transactions on fuzzy systems, 1995-08, Vol.3 (3), p.351-356</ispartof><rights>1995 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c306t-d75e8d7dec34c33f1e2354282d4f6636cb3d71b2c489794eb391367cf2559cea3</citedby><cites>FETCH-LOGICAL-c306t-d75e8d7dec34c33f1e2354282d4f6636cb3d71b2c489794eb391367cf2559cea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/413239$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,778,782,794,27907,27908,54741</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/413239$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3679120$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Egusa, Y.</creatorcontrib><creatorcontrib>Akahori, H.</creatorcontrib><creatorcontrib>Morimura, A.</creatorcontrib><creatorcontrib>Wakami, N.</creatorcontrib><title>An application of fuzzy set theory for an electronic video camera image stabilizer</title><title>IEEE transactions on fuzzy systems</title><addtitle>TFUZZ</addtitle><description>An electronic video camera image stabilizer has been developed which eliminates a substantial part of the image instability caused by the involuntary movement of camera holders. For the discrimination between image movement caused by unstable hand-holding and that of moving objects, fuzzy set theory is applied through the following process: 1) dividing the image taken by the camera into four regions, 2) providing two signals to discriminate between the causes of image instability, 3) evaluating these two discriminating signals after they are transformed into reliability values by membership functions, and 4) tuning the membership functions using a simplex method. This image stabilizer has been incorporated into a new compact video camera, and its substantially improved field performance has been confirmed.< ></description><subject>Applied sciences</subject><subject>Cameras</subject><subject>Exact sciences and technology</subject><subject>Fuzzy set theory</subject><subject>Image converters</subject><subject>Image processing</subject><subject>Information, signal and communications theory</subject><subject>Optimization methods</subject><subject>Reliability theory</subject><subject>Signal processing</subject><subject>Telecommunications and information theory</subject><issn>1063-6706</issn><issn>1941-0034</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><recordid>eNo9kE1LxDAQhoMouK4evHrKQQQPXfPVpDku4hcsCKLnkqYTjXSbmmSF3V9vpcueZmCeeXh5EbqkZEEp0XeaLgTljOsjNKNa0IIQLo7HnUheSEXkKTpL6ZsQKkpazdDbssdmGDpvTfahx8Fht9nttjhBxvkLQtxiFyI2PYYObI6h9xb_-hYCtmYN0WC_Np-AUzaN7_wO4jk6caZLcLGfc_Tx-PB-_1ysXp9e7perwnIic9GqEqpWtWC5sJw7CoyXglWsFU5KLm3DW0UbZkWllRbQcE25VNaxstQWDJ-jm8k7xPCzgZTrtU8Wus70EDapZpVQqmTVCN5OoI0hpQiuHuIYOm5rSur_1mpN66m1kb3eS02ypnPR9Nanw8MYQFNGRuxqwjwAHK57xx_zhXPu</recordid><startdate>19950801</startdate><enddate>19950801</enddate><creator>Egusa, Y.</creator><creator>Akahori, H.</creator><creator>Morimura, A.</creator><creator>Wakami, N.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19950801</creationdate><title>An application of fuzzy set theory for an electronic video camera image stabilizer</title><author>Egusa, Y. ; Akahori, H. ; Morimura, A. ; Wakami, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c306t-d75e8d7dec34c33f1e2354282d4f6636cb3d71b2c489794eb391367cf2559cea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>Applied sciences</topic><topic>Cameras</topic><topic>Exact sciences and technology</topic><topic>Fuzzy set theory</topic><topic>Image converters</topic><topic>Image processing</topic><topic>Information, signal and communications theory</topic><topic>Optimization methods</topic><topic>Reliability theory</topic><topic>Signal processing</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Egusa, Y.</creatorcontrib><creatorcontrib>Akahori, H.</creatorcontrib><creatorcontrib>Morimura, A.</creatorcontrib><creatorcontrib>Wakami, N.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on fuzzy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Egusa, Y.</au><au>Akahori, H.</au><au>Morimura, A.</au><au>Wakami, N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An application of fuzzy set theory for an electronic video camera image stabilizer</atitle><jtitle>IEEE transactions on fuzzy systems</jtitle><stitle>TFUZZ</stitle><date>1995-08-01</date><risdate>1995</risdate><volume>3</volume><issue>3</issue><spage>351</spage><epage>356</epage><pages>351-356</pages><issn>1063-6706</issn><eissn>1941-0034</eissn><coden>IEFSEV</coden><abstract>An electronic video camera image stabilizer has been developed which eliminates a substantial part of the image instability caused by the involuntary movement of camera holders. For the discrimination between image movement caused by unstable hand-holding and that of moving objects, fuzzy set theory is applied through the following process: 1) dividing the image taken by the camera into four regions, 2) providing two signals to discriminate between the causes of image instability, 3) evaluating these two discriminating signals after they are transformed into reliability values by membership functions, and 4) tuning the membership functions using a simplex method. This image stabilizer has been incorporated into a new compact video camera, and its substantially improved field performance has been confirmed.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/91.413239</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1063-6706 |
ispartof | IEEE transactions on fuzzy systems, 1995-08, Vol.3 (3), p.351-356 |
issn | 1063-6706 1941-0034 |
language | eng |
recordid | cdi_proquest_miscellaneous_28477528 |
source | IEEE Electronic Library (IEL) |
subjects | Applied sciences Cameras Exact sciences and technology Fuzzy set theory Image converters Image processing Information, signal and communications theory Optimization methods Reliability theory Signal processing Telecommunications and information theory |
title | An application of fuzzy set theory for an electronic video camera image stabilizer |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T07%3A31%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20application%20of%20fuzzy%20set%20theory%20for%20an%20electronic%20video%20camera%20image%20stabilizer&rft.jtitle=IEEE%20transactions%20on%20fuzzy%20systems&rft.au=Egusa,%20Y.&rft.date=1995-08-01&rft.volume=3&rft.issue=3&rft.spage=351&rft.epage=356&rft.pages=351-356&rft.issn=1063-6706&rft.eissn=1941-0034&rft.coden=IEFSEV&rft_id=info:doi/10.1109/91.413239&rft_dat=%3Cproquest_RIE%3E28477528%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=28477528&rft_id=info:pmid/&rft_ieee_id=413239&rfr_iscdi=true |