Color Clustering in the Metal Inscription Images Using ANFIS Filter
Abstract: Ancient inscriptions
are historical records of the past age made on stone or metal media. Currently
many ancient inscriptions were damaged because it is too long buried in the
ground. This research is the first step to repairing the damaged inscription
using Image processing. Efforts to restorations using color clustering with
ANFIS method are an early stage to perform letters segmentation in the ancient
inscription. The Results of ANFIS clustering method are compared to the spatial
fuzzy clustering method (SFCM). The clustering performance measurement is done
by measuring root mean square error (RMSE). From RMSE measurements, the average
values obtained with ANFIS clustering method is smaller 21.80% than with SFCM.
This means there is an increase in clustering performance with ANFIS method
compared to SFCM.
Author: Susijanto T. Rasmana,
Yoyon K. Suprapto, Ketut E. Purnama
Journal Code: jptkomputergg130081
