Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi (Jul 2017)

CLASSIFICATION OF BATIK LAMONGAN BASED ON FEATURES OF COLOR, TEXTURE AND SHAPE

  • Miftahus Sholihin,
  • Siti Mujilahwati,
  • Retno Wardhani

DOI
https://doi.org/10.28961/kursor.v9i1.114
Journal volume & issue
Vol. 9, no. 1

Abstract

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Classification aims to classify object into specific classes based on the value of the attribute associated with the object being observed. In this research designed a system that serves to classify Lamongan batik cloth based on color features using color moment, texture using Gray Level Co-occurence Matrix (GLCM), and shape using moment invariant, classification using K-Nearest Neighbors (K-NN) method. In outline the system was built consists of three main processes namely pre-processing, feature extraction, and classification. The highest accuracy rate in this study was 90.4% when the value of k = 6.

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