Jurnal INKOFAR
Vol 9, No 1 (2025)

MOTIF DETECTION IN INDONESIAN HAND-WOVEN FABRICS USING MATLAB

Haryanto, Agung (Unknown)
Purnomosari, Endah (Unknown)
Mulyani, Wiwiek Eka (Unknown)
Abdullah, Fadil (Unknown)
Putra, Valentinus Galih Vidia (Unknown)
Kusrianto, Adi (Unknown)

Article Info

Publish Date
30 Jul 2025

Abstract

In our study, we developed an automated system for identifying Indonesian woven fabric motifs using MATLAB-based image processing. Procedures included obtaining visuals, enhancing quality, constructing a regional dataset, extracting features, measuring similarity, and analyzing colors. Correlation assessments enabled precise motif identification, while tailored color analysis improved similarity accuracy. The algorithm demonstrated effective recognition performance using dataset references. This approach offers a practical solution for cultural preservation, providing faster and more consistent results than manual evaluation

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Journal Info
Jurnal INKOFAR
Website

Abbrev

inkofar

Publisher

Politeknik Meta Industri

Subject

Computer Science & IT Industrial & Manufacturing Engineering Medicine & Pharmacology

Description

Jurnal INKOFAR diterbitkan oleh Program D3 Teknik Industri, Teknik Komputer, dan Farmasi Politeknik Meta Industri sebagai media untuk menyalurkan hasil penelitian dan pemikiran kalangan akademisi, peneliti dan praktisi bidang Teknik Industri, Teknik Komputer, dan Farmasi. Jurnal INKOFAR terbit dua ...