<?xml version="1.0"?>
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                    <article article-type="research-article">
                    <front>
                        <journal-meta>
                        <journal-id journal-id-type="publisher-id">ei</journal-id>
                        <journal-title>Electronic Imaging</journal-title>
                        <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub">2470-1173</issn>
                        <publisher>
                            <publisher-name>Society for Imaging Science and Technology</publisher-name>
                            <publisher-loc>IS&amp;T 7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
                        </publisher>
                        </journal-meta>
                        <article-meta>
                        <article-id pub-id-type="doi">10.2352/EI.2022.34.9.IQSP-198</article-id>
                        <article-id pub-id-type="publisher-id">IQSP-198</article-id>
                        <article-categories>
                            <subj-group>
                            <subject>Article</subject>
                            </subj-group>
                        </article-categories>
                        <title-group>
                            <article-title>Visualization for texture analysis of the Shitsukan Research Database based on luminance information</article-title>
                        </title-group><contrib-group content-type="all"><contrib contrib-type="author"><name>
                                <surname>Kawabata</surname>
                                <given-names>Norifumi </given-names>
                               </name> <xref ref-type="aff" rid="aff1author1"/></contrib> <aff id="aff1author1">Hokkaido University, Japan</aff></contrib-group><abstract>
                        <title>Abstract</title>
                        <p>Thus far, there were the difference meaning and interpretation for definition of &quot;Shitsukan&quot;. Therefore, there were many studies whether &quot;Shitsukan&quot; can be evaluated quantitatively or not. As one of the past our study, we carried out texture analysis for classification method of texture types by using the Shitsukan Research Database. As a result, we were able to see characteristics between contrast and correlation for texture types. In this paper, we analyzed statistically after comparing between texture analysis for classification method of texture types and luminance information in the Shitsukan Research Database for the free of charge obtained from Web. And then, we obtained novelty and knowledge discussing characteristics of texture types.</p>
                        </abstract><pub-date>
                            <day>16</day>
                            <month>01</month>
                            <year>2022</year>
                            </pub-date><volume>34</volume>
                        <issue-acronym>IQSP</issue-acronym>
                        <issue>9</issue>
                        <fpage>198-1</fpage>
                        <lpage>198-6</lpage>
                        <permissions>
                             <copyright-statement>© 2022, Society for Imaging Science and Technology</copyright-statement>
                            <copyright-year>2022</copyright-year>
                        </permissions><kwd-group><kwd>Luminance</kwd><kwd> Image Database</kwd><kwd> H.265/HEVC</kwd><kwd> Gray-Level Co-Occurrence Matrix (GLCM)</kwd><kwd> Heat Map</kwd></kwd-group></article-meta>
                    </front>
                    </article>