Batik image retrieval based on enhanced micro-structure descriptor

Agus Eko Minarno, Yuda Munarko, Fitri Bimantoro, Arrie Kurniawardhani, Nanik Suciati

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Citations (Scopus)

Abstract

This paper describes a novel method for extracting features of batik images. This method is called enhanced micro-structure descriptor (EMSD). EMSD is the enhanced model of micro-structure descriptor (MSD) which proposed by Guang-Hai Liu. Different with MSD that uses only edge orientation similarity for creating micro-structure map and then utilises this map along with color values; EMSD adds a new micro-structure map that is based on color similarity and then utilises this map along with edge orientation values. The combination of MSD and the additional micro-structure descriptor is used as feature extractor in EMSD. This method is tested on 300 batik images, Corel datasets with 5,000 images and 10,000 images. We also compared EMSD to MSD and multi-textons histogram (MTH), which EMSD performance is superior than the other two.

Original languageEnglish
Title of host publication2014 Asia-Pacific Conference on Computer Aided System Engineering, APCASE 2014
EditorsZenon Chaczko, Ford Lumban Gaol, Franz Pichler, Christopher Chiu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-70
Number of pages6
ISBN (Electronic)9781479945689
DOIs
Publication statusPublished - 14 Oct 2014
Event2014 Asia-Pacific Conference on Computer Aided System Engineering, APCASE 2014 - Bali, Indonesia
Duration: 10 Feb 201412 Feb 2014

Publication series

Name2014 Asia-Pacific Conference on Computer Aided System Engineering, APCASE 2014

Conference

Conference2014 Asia-Pacific Conference on Computer Aided System Engineering, APCASE 2014
Country/TerritoryIndonesia
CityBali
Period10/02/1412/02/14

Keywords

  • batik
  • image retrieval
  • micro-structure descriptor

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