Image Retrieval Based on Multi Structure Co-occurrence Descriptor
Abstract: This study presents
a new technique for Batik cloth image retrieval using Micro-Structure
Cooccurence Descriptor (MSCD). MSCD is one of feature extraction method. It is
a developed method based on Enhanced Micro Structure Descriptor (EMSD). In
previous study, EMSD has been used for extracting texture, color, and shape
feature simultaneously. However, EMSD could not achieve an optimal precision for
Batik cloth image retrieval. 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 shows that MSCD can increase precision and recall,
by 19.03% and 18.33%, respectively. It indicates that MSCD can retrieve Batik
cloth images more effective than EMSD.
Author: Agus Eko Minarno
Journal Code: jptkomputergg160264
