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A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis
In this paper a novel approach of initializing region-based active contours using unimodahty analysis is introduced. Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art...
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| creator | Ohliger, Kevin Edeler, T Condurache, A P Mertins, A |
| description | In this paper a novel approach of initializing region-based active contours using unimodahty analysis is introduced. Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art methods and a method which is based on kurtosis and dissimilarity (KDR). It is shown that the excess mass method outperforms KDR and state of the art methods for synthetic and real images for different noise setups with respect to the overall accuracy and Cohen's kappa of the segmentation results. |
| doi_str_mv | 10.1109/ICOSP.2010.5656033 |
| format | conference_proceeding |
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Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art methods and a method which is based on kurtosis and dissimilarity (KDR). It is shown that the excess mass method outperforms KDR and state of the art methods for synthetic and real images for different noise setups with respect to the overall accuracy and Cohen's kappa of the segmentation results.</description><identifier>ISSN: 2164-5221</identifier><identifier>ISBN: 9781424458974</identifier><identifier>ISBN: 1424458978</identifier><identifier>EISBN: 9781424458998</identifier><identifier>EISBN: 9781424459001</identifier><identifier>EISBN: 1424459001</identifier><identifier>EISBN: 1424458994</identifier><identifier>DOI: 10.1109/ICOSP.2010.5656033</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Active contours ; Cohen's kappa ; Computational modeling ; dip test ; Electronics packaging ; excess mass ; Image segmentation ; initialization ; KDR ; multimodality ; Noise ; Object segmentation ; overall accuracy ; segmentation ; unimodality</subject><ispartof>IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010, p.885-888</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5656033$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5656033$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ohliger, Kevin</creatorcontrib><creatorcontrib>Edeler, T</creatorcontrib><creatorcontrib>Condurache, A P</creatorcontrib><creatorcontrib>Mertins, A</creatorcontrib><title>A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis</title><title>IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS</title><addtitle>ICOSP</addtitle><description>In this paper a novel approach of initializing region-based active contours using unimodahty analysis is introduced. 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It is shown that the excess mass method outperforms KDR and state of the art methods for synthetic and real images for different noise setups with respect to the overall accuracy and Cohen's kappa of the segmentation results.</description><subject>Accuracy</subject><subject>Active contours</subject><subject>Cohen's kappa</subject><subject>Computational modeling</subject><subject>dip test</subject><subject>Electronics packaging</subject><subject>excess mass</subject><subject>Image segmentation</subject><subject>initialization</subject><subject>KDR</subject><subject>multimodality</subject><subject>Noise</subject><subject>Object segmentation</subject><subject>overall accuracy</subject><subject>segmentation</subject><subject>unimodality</subject><issn>2164-5221</issn><isbn>9781424458974</isbn><isbn>1424458978</isbn><isbn>9781424458998</isbn><isbn>9781424459001</isbn><isbn>1424459001</isbn><isbn>1424458994</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVkFtLAzEQhSMqWGr_gL7kD2zNdXfzWIqXQqGC-lxymdTINimbbWH99Ubsi_MynOGcj8MgdEfJnFKiHlbLzdvrnJGiZS1rwvkFmqmmpYIJIVul2st_uhFXaMJoLSrJGL1Bs5y_SBnJGqbqCYoLHNMJOqwPhz5p-4mTxyGGIegufIe4wz3sQoqV0Rkc1nYIJ8A2xSEd-1ycJR7yiMNe7yBjM-I96Jh_KccY9skVzDBiHXU35pBv0bXXXYbZeU_Rx9Pj-_KlWm-eV8vFugq0kUPFWum1VY6TxtZEGGlEuQNtnbANtIZ7Z4wvJseddpwqoaAGYoXXwlPv-RTd_3EDAGwPfanXj9vzx_gPUIxf9g</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Ohliger, Kevin</creator><creator>Edeler, T</creator><creator>Condurache, A P</creator><creator>Mertins, A</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201010</creationdate><title>A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis</title><author>Ohliger, Kevin ; Edeler, T ; Condurache, A P ; Mertins, A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-285fac9d307c604b5b4175e18d4c7e8b3fdbbf85fd3dad31949e6e0c4fa4f1ff3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Accuracy</topic><topic>Active contours</topic><topic>Cohen's kappa</topic><topic>Computational modeling</topic><topic>dip test</topic><topic>Electronics packaging</topic><topic>excess mass</topic><topic>Image segmentation</topic><topic>initialization</topic><topic>KDR</topic><topic>multimodality</topic><topic>Noise</topic><topic>Object segmentation</topic><topic>overall accuracy</topic><topic>segmentation</topic><topic>unimodality</topic><toplevel>online_resources</toplevel><creatorcontrib>Ohliger, Kevin</creatorcontrib><creatorcontrib>Edeler, T</creatorcontrib><creatorcontrib>Condurache, A P</creatorcontrib><creatorcontrib>Mertins, A</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ohliger, Kevin</au><au>Edeler, T</au><au>Condurache, A P</au><au>Mertins, A</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis</atitle><btitle>IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS</btitle><stitle>ICOSP</stitle><date>2010-10</date><risdate>2010</risdate><spage>885</spage><epage>888</epage><pages>885-888</pages><issn>2164-5221</issn><isbn>9781424458974</isbn><isbn>1424458978</isbn><eisbn>9781424458998</eisbn><eisbn>9781424459001</eisbn><eisbn>1424459001</eisbn><eisbn>1424458994</eisbn><abstract>In this paper a novel approach of initializing region-based active contours using unimodahty analysis is introduced. Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art methods and a method which is based on kurtosis and dissimilarity (KDR). It is shown that the excess mass method outperforms KDR and state of the art methods for synthetic and real images for different noise setups with respect to the overall accuracy and Cohen's kappa of the segmentation results.</abstract><pub>IEEE</pub><doi>10.1109/ICOSP.2010.5656033</doi><tpages>4</tpages></addata></record> |
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| identifier | ISSN: 2164-5221 |
| ispartof | IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010, p.885-888 |
| issn | 2164-5221 |
| language | eng |
| recordid | cdi_ieee_primary_5656033 |
| source | IEEE Xplore All Conference Series |
| subjects | Accuracy Active contours Cohen's kappa Computational modeling dip test Electronics packaging excess mass Image segmentation initialization KDR multimodality Noise Object segmentation overall accuracy segmentation unimodality |
| title | A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis |
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