Open AccessLocal Adaptive Thresholding Pada Preprocessing Citra Lontar Aksara Bali
Author(s) -
Ni Putu Sutramiani,
IKetut Gede Darmaputra,
Made Sudarma
Publication year - 2015
Publication title -
majalah ilmiah teknologi elektro/majalah ilmiah teknologi elektro
Language(s) - English
Resource type - Journals
eISSN - 2503-2372
pISSN - 1693-2951
DOI - 10.24843/mite.2015.v14i01p06
Subject(s) - thresholding , artificial intelligence , computer vision , preprocessor , computer science , noise (video) , scanner , image (mathematics) , standard test image , image processing , pattern recognition (psychology)
Balinesse lontar digitalization generates image file which acquired through a scanner or camera. Lontar image has noise because the results of the acquisition of the original lontar contained brown color that exist on the leaves. Therefore this paper focuses on improving the quality of the image to remove noise contained in the image by thresholding process. The method used in this paper is a Local Adaptive Thresholding. The test results in this paper generates the best image with the window (W)=70 and the threshold value (C)=0.05 which proved to remove noise at most of the few testing that has been done in this paper