Perfecting a Video Game with Game Metrics
Vol 14, No 3: September 2016

Image Retrieval Based on Multi Structure Co-occurrence Descriptor

Agus Eko Minarno (Universitas Muhammadiyah Malang)
Arrie Kurniawardhani (Universitas Islam Indonesia)
Fitri Bimantoro (Universitas Mataram Indonesia)

Article Info

Publish Date
01 Sep 2016

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.

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Journal Info
Perfecting a Video Game with Game Metrics
Website

Abbrev

TELKOMNIKA

Publisher

Universitas Ahmad Dahlan

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...