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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">csat</journal-id>
      <journal-title-group>
        <journal-title>Computational Science and Techniques</journal-title>
      </journal-title-group>
      <issn pub-type="epub"/>
      <issn pub-type="ppub"/>
      <publisher>
        <publisher-name>KU</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">4_44_1_LE</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Investigation of full similarity of images digitized with stenocamera</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Budrytė</surname>
            <given-names>Radvilė</given-names>
          </name>
          <email xlink:href="mailto:radvile.budryte@gmail.com">radvile.budryte@gmail.com</email>
          <xref ref-type="aff" rid="j_csat_aff_000"/>
          <xref ref-type="corresp" rid="cor1">∗</xref>
        </contrib>
        <aff id="j_csat_aff_000">Klaipeda University</aff>
        <contrib contrib-type="Author">
          <name>
            <surname>Knabikas</surname>
            <given-names>Šarūnas</given-names>
          </name>
          <xref ref-type="aff" rid="j_csat_aff_001"/>
        </contrib>
        <aff id="j_csat_aff_001">Klaipeda University</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Bakevičius</surname>
            <given-names>Benas</given-names>
          </name>
          <xref ref-type="aff" rid="j_csat_aff_002"/>
        </contrib>
        <aff id="j_csat_aff_002">Klaipeda University</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Ramašauskas</surname>
            <given-names>Olegas</given-names>
          </name>
          <xref ref-type="aff" rid="j_csat_aff_003"/>
        </contrib>
        <aff id="j_csat_aff_003">Klaipeda University</aff>
      </contrib-group>
      <author-notes>
        <corresp id="cor1"><label>∗</label>Corresponding author.</corresp>
      </author-notes>
      <volume>1</volume>
      <issue>1</issue>
      <fpage>11</fpage>
      <lpage>16</lpage>
      <pub-date pub-type="epub">
        <day>28</day>
        <month>02</month>
        <year>2013</year>
      </pub-date>
      <permissions>
        <copyright-year>2013</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0/">
          <license-p>Creative Commons Attribution 3.0 License</license-p>
        </license>
      </permissions>
      <abstract>
        <p>In technical photography, there are cases with requirement to keep full similarity among the object and its reflection. Due to the aberration of optical systems used in photography tools, unambiguous and precise application of projecting geometry rules becomes impossible. The problem remains in digital photography with traditional optical devices and image processing with software tools is complicated due to the both insensitivity of image matrixes and the lack of suitable correction algorithms. The study has shown that the best results can be obtained by using stenocamera and sensitive photographic film. New digital image retrieval method, obtained by combining classical stenocamera tool with digital web camera matrix is described in this paper.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>image processing</kwd>
        <kwd>digital photography</kwd>
        <kwd>aberration</kwd>
        <kwd>stenocamera</kwd>
        <kwd>algorithm</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
