Image Retrieval Based on Multi Structure Co-occurrence Descriptor

Agus Eko Minarno, Arrie Kurniawardhani, Fitri Bimantoro

Abstract


This study present a new technique for Batik cloth image retrieval using Micro-Structure Co-occurence Descriptor (MSCD). MSCD is a developed method based on Enhanced Micro Structure Descriptor (EMSD). Previously, EMSD has been improved by adding edge orientation feature. In previous study, EMSD cannot achieve an optimal precision. Therefore, MSCD is proposed to overcome the EMSD drawback using global feature approach, namely Gray Level Co-occurrence Matrix (GLCM). There are 300 batik cloth images which contain 50 classes used for dataset. The performance result show that MSCD can retrieve Batik cloth images more effective than EMSD.

Keywords


Batik, Image retrieval, Micro Structure, Gray Level Co-occurrence Matrix

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DOI: http://dx.doi.org/10.12928/telkomnika.v14i3.3292

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TELKOMNIKA Telecommunication, Computing, Electronics and Control
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