Open AccessPerancangan Perangkat Lunak untuk Ekstraksi Ciri dan Klasifikasi Pola Batik
Author(s) -
Indah Soesanti
Publication year - 2015
Publication title -
semesta teknika
Language(s) - English
Resource type - Journals
eISSN - 2502-5481
pISSN - 1411-061X
DOI - 10.18196/st.v17i2.424
Subject(s) - pattern recognition (psychology) , computer science , artificial intelligence , identification (biology) , feature (linguistics) , point (geometry) , feature extraction , computer vision , mathematics , linguistics , philosophy , botany , geometry , biology
The popularity of batik patterns in Indonesia has varied. Industrial modern devices in imaging have supported batik pattern recognition and classification. The important of product pattern information could not naturally visible. The information about batik pattern can be achieved by using the appropriate software design of image processing for extracting the features. One of the potential procedures is the unsupervised classification method based on specific feature. In this research, the specific feature extraction based on the eigenimage of batik pattern was done. In the final step, the nearest distance eigenimage between reference batik image and test batik image was used to identify the batik from the classical pattern field point of view. The results of batik image identification conformed 96.67% with the reference batik images.