  <eprint id="http://eprints.soton.ac.uk/id/eprint/250036" xmlns="http://eprints.org/ep2/data/2.0">
    <eprintid>250036</eprintid>
    <rev_number>60</rev_number>
    <eprint_status>archive</eprint_status>
    <userid>960</userid>
    <source>http://eprints.ecs.soton.ac.uk/id/eprint/36</source>
    <dir>disk0/00/25/00/36</dir>
    <datestamp>2001-10-29</datestamp>
    <lastmod>2026-05-21 01:34:59</lastmod>
    <status_changed>2011-03-01 10:13:45</status_changed>
    <type>article</type>
    <metadata_visibility>show</metadata_visibility>
    <item_issues_count>0</item_issues_count>
    <ispublished>pub</ispublished>
    <full_text_status>none</full_text_status>
    <date>1997</date>
    <publication>IEEE Trans. on Pattern Analysis and Machine Intelligence</publication>
    <refereed>FALSE</refereed>
    <divisions>
      <item>8f5a429e-c670-42a4-955d-9ff7bcbecf3d</item>
      <item>e18b223d-73f8-4d0b-971e-87475fc2a1e9</item>
    </divisions>
    <volume>19</volume>
    <number>1</number>
    <creators>
      <item>
        <name>
          <family>Gunn</family>
          <given>S.R.</given>
        </name>
        <id>306af9b3-a7fa-4381-baf9-5d6a6ec89868</id>
        <orcid>0009-0003-8924-8263</orcid>
        <hidden>FALSE</hidden>
      </item>
      <item>
        <name>
          <family>Nixon</family>
          <given>M.S.</given>
        </name>
        <id>2b5b9804-5a81-462a-82e6-92ee5fa74e12</id>
        <orcid>0000-0002-9174-5934</orcid>
        <hidden>FALSE</hidden>
      </item>
    </creators>
    <contributors>
      <item>
        <type>http://www.loc.gov/loc.terms/relators/AUT</type>
        <name>
          <family>Gunn</family>
          <given>S.R.</given>
        </name>
        <id>306af9b3-a7fa-4381-baf9-5d6a6ec89868</id>
        <orcid>0009-0003-8924-8263</orcid>
        <hidden>FALSE</hidden>
      </item>
      <item>
        <type>http://www.loc.gov/loc.terms/relators/AUT</type>
        <name>
          <family>Nixon</family>
          <given>M.S.</given>
        </name>
        <id>2b5b9804-5a81-462a-82e6-92ee5fa74e12</id>
        <orcid>0000-0002-9174-5934</orcid>
        <hidden>FALSE</hidden>
      </item>
    </contributors>
    <title>A Robust Snake Implementation: A Dual Active Contour</title>
    <abstract>A conventional active contour formulation suffers difficulty in appropriate choice of an initial contour and values of parameters. Recent approaches have aimed to resolve these problems but can compromise other performance aspects. To relieve the problem in initialisation, we use a dual active contour, which is combined with a local shape model to improve the parameterisation. One contour expands from inside the target feature, the other contracts from the outside. The two contours are inter-linked to provide a balanced technique with an ability to reject weak local energy minima.</abstract>
    <date_type>published</date_type>
    <pagerange>63--68</pagerange>
    <languages_3char>
      <item>eng</item>
    </languages_3char>
    <organisations>
      <item>Electronic &amp; Software Systems</item>
      <item>Southampton Wireless Group</item>
    </organisations>
    <pure_uuid>ea7365ce-ddee-42be-8033-ec60f866414d</pure_uuid>
    <fp7_type>info:eu-repo/semantics/article</fp7_type>
    <dates>
      <item>
        <date>1997</date>
        <date_type>published</date_type>
      </item>
    </dates>
    <hoa_compliant>304</hoa_compliant>
    <hoa_date_pub>2001-10-29</hoa_date_pub>
  </eprint>
