Abstract

Wide range of products such as clothing, bed linen, curtains, and shoes, use fabrics as main raw material. Fabrics have various types of materials, colors and patterns. Harmony in combining the various types of fabrics will affect the beauty of the resulted product. A system that can be used to retrieve some fabrics similar to a fabrics sample automatically will facilitate the combining process in creating a product. In this study, a fabrics image retrieval system using combination of fractal-based texture feature and HSV color feature is developed. The Canberra Distance is used to measure similarity between features vectors. The experiment which is done using two kinds of fabrics image datasets, i.e. "batik" and "common", gives average recall 94% and 92%, respectively.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages178-182
Number of pages5
ISBN (Electronic)9781479982523
DOIs
Publication statusPublished - 31 May 2016
Event5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015 - Batu Ferringhi, Penang, Malaysia
Duration: 27 Nov 201529 Nov 2015

Publication series

NameProceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015

Conference

Conference5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015
Country/TerritoryMalaysia
CityBatu Ferringhi, Penang
Period27/11/1529/11/15

Keywords

  • HSV color
  • Image retrieval
  • fractal-based texture

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