Jurnal Komputasi
Vol. 8 No. 2 (2020)

Implementasi Metode Ekstraksi Fitur Gabor Filter dan Probablity Neural Network (PNN) untuk Identifikasi Kain Tapis Lampung

ADMI SYARIF (UNIVERSITAS LAMPUNG)
AKBAR RISMAWAN TANJUNG (UNIVERSITAS LAMPUNG)
RICO ANDRIAN (UNIVERSITAS LAMPUNG)
FAVORISEN R. LUMBANRAJA (UNIVERSITAS LAMPUNG)



Article Info

Publish Date
31 Oct 2020

Abstract

Tapis Fabric is a traditional clothing of the people of Lampung in the form of a shawl cloth or a sarong made of woven cotton thread with various motifs and ornaments, silver thread or gold thread by embroidered or punched. The pattern of filter cloth is quite complex, unlike the pattern of fabric in general, with its own uniqueness that has become the culture of Lampung society until now. This filter cloth will be investigated by identifying the three types of filter cloth, namely Sasab, Bintang Perak and Gunung Beradu and see the results of its identification. The method used to identify is by combining the Gabor Filter feature extraction method which has frequency and orientation parameters and Probability Neural Network classification methods. Previously, the combination of these two methods was used to identify objects with simple patterns. The results are quite good, such as detecting faces, leaf patterns, and other simple patterns. This research is expected to get maximum identification results on the filter cloth even though it has a pattern that is not simple and will be used as a research report to determine the suitability of the method used for the filter object.

Copyrights © 2020






Journal Info

Abbrev

komputasi

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Description

Jurnal Komputasi E-ISSN 2541-0350 P-ISSN 2541-0296 publised by Departement Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung. peer-reviewed journal. This journal covers all topics of computer science which includes: Computer Science Information System Software ...