View Item 
      •   IPB Repository
      • Dissertations and Theses
      • Undergraduate Theses
      • UT - Faculty of Mathematics and Natural Sciences
      • UT - Computer Science
      • View Item
      •   IPB Repository
      • Dissertations and Theses
      • Undergraduate Theses
      • UT - Faculty of Mathematics and Natural Sciences
      • UT - Computer Science
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Vektor Kuantisasi Berbasis Blob Citra Untuk Temu Kembali Citra Dengan Hierarchy Clustering

      Thumbnail
      View/Open
      Abstract (282.5Kb)
      BAB I (314.6Kb)
      BAB II (626.3Kb)
      BAB III (381.6Kb)
      BAB IV (358.0Kb)
      BAB V (315.9Kb)
      Cover (287.4Kb)
      Daftar Pustaka (284.7Kb)
      Full Text (958.0Kb)
      Lampiran (504.8Kb)
      Date
      2011
      Author
      Nopa, Ryan Sapta
      Herdiyeni, Yeni
      Metadata
      Show full item record
      Abstract
      This research proposed vector quantization using hierarchy clustering to overcome semantic problem on image retrieval. This approach considers to find templates or codebooks which arrange image in database. Images were segmented into blobs using grid segmentation. Each blob was represented by color feature using HSV-162 and texture feature using co-occurrence matrix. Output of feature extraction then clustered using hierarchy clustering to generated optimally codebook. Data experiment in this research was taken from http://www.stat.psu.edu/~jiali. The data consist of 1.000 photography image with various of theme, object, and dimension of images were 384×256 pixel. R-precision, recall, and precision were useds to evaluate the result of image retrieval. The experiment showed that segmentation using grid 12×8 have achieved best result than other grid. Based on experience, the result of R-precision showed that grid 12×8 is about 0,32. The advantage of this research that vector quantization with hierarchy clustering can be used to overcome semantic problem on image retrieval based on blob.
      URI
      http://repository.ipb.ac.id/handle/123456789/50171
      Collections
      • UT - Computer Science [1777]

      Copyright © 2020 Library of IPB University
      All rights reserved
      Contact Us | Send Feedback
      Indonesia DSpace Group 
      IPB University Scientific Repository
      UIN Syarif Hidayatullah Institutional Repository
      Universitas Jember Digital Repository
        

       

      Browse

      All of IPB RepositoryCollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

      My Account

      Login

      Application

      google store

      Copyright © 2020 Library of IPB University
      All rights reserved
      Contact Us | Send Feedback
      Indonesia DSpace Group 
      IPB University Scientific Repository
      UIN Syarif Hidayatullah Institutional Repository
      Universitas Jember Digital Repository