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
		
		 
	
				
			
	
	
							
		
		DOI: 
http://doi.org/10.12928/telkomnika.v14i3.3292 	
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TELKOMNIKA Telecommunication, Computing, Electronics and Control  ISSN: 1693-6930 , e-ISSN: 2302-9293 Universitas Ahmad Dahlan , 4th Campus Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191 Phone: +62 (274) 563515, 511830, 379418, 371120 Fax: +62  274 564604
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