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<ArticleSet>
  <ARTICLE>
    <Journal>
      <PublisherName>مرکز منطقه ای اطلاع رسانی علوم و فناوری</PublisherName>
      <JournalTitle>Journal of Information Systems and Telecommunication (JIST) </JournalTitle>
      <ISSN>2322-1437</ISSN>
      <Volume>2</Volume>
      <Issue>5</Issue>
      <PubDate PubStatus="epublish">
        <Year>2014</Year>
        <Month>3</Month>
        <Day>21</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Image Retrieval Using Color-Texture Features Extracted From Gabor-Walsh Wavelet Pyramid</ArticleTitle>
    <VernacularTitle>Image Retrieval Using Color-Texture Features Extracted From Gabor-Walsh Wavelet Pyramid</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>10</LastPage>
    <ELocationID EIdType="doi">10.7508/jist.2014.01.004</ELocationID>
    <Language>en</Language>
    <AuthorList>
      <Author>
        <FirstName>Sajad</FirstName>
        <LastName>Mohammadzadeh</LastName>
        <Affiliation>University of Birjand</Affiliation>
      </Author>
      <Author>
        <FirstName>حسن</FirstName>
        <LastName>فرسی</LastName>
        <Affiliation>دانشگاه بیرجند</Affiliation>
      </Author>
    </AuthorList>
    <History PubStatus="received">
      <Year>2014</Year>
      <Month>10</Month>
      <Day>22</Day>
    </History>
    <Abstract>Image retrieval is one of the most applicable image processing techniques which have been extensively used. Feature extraction is one of the most important procedures used for interpretation and indexing images in Content-Based Image Retrieval (CBIR) systems. Effective storage, indexing and managing a large number of image collections are critical challenges in computer systems. There are many proposed methods to overcome these problems. However, the rate of image retrieval and speed of retrieval are still interesting fields of researches. In this paper, we propose a new method based on combination of Gabor filter and Walsh transform and Wavelet Pyramid (GWWP). The Crossover Point (CP) of precision and recall are considered as metrics to evaluate and compare different methods. The Obtained results show using GWWP provides better performance in compared to with other methods.</Abstract>
    <ObjectList>
      <Object Type="Keyword">
        <Param Name="Value">Content-Based Image Retrieval (CBIR)</Param>
      </Object>
      <Object Type="Keyword">
        <Param Name="Value">Gabor Filter</Param>
      </Object>
      <Object Type="Keyword">
        <Param Name="Value">Walsh Transform</Param>
      </Object>
      <Object Type="Keyword">
        <Param Name="Value">Wavelet Pyramid Transform</Param>
      </Object>
      <Object Type="Keyword">
        <Param Name="Value">Texture</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="Pdf">http://jist.ir/fa/Article/Download/14841</ArchiveCopySource>
  </ARTICLE>
</ArticleSet>