PERBAIKAN CITRA MENGGUNAKAN HISTOGRAM EQUALIZATION PADA DETEKSI TEPI BATIK

Abstract

ABSTRACT
Indonesia has 17 diverse cultures that have been recognized by UNESCO, one of which is batik.
There is recognition from UNESCO that Indonesian cultural heritage of batik may not be
recognized by other countries. Batik as a cultural heritage has its own uniqueness, to maintain the
uniqueness of batik, it is necessary to document batik motifs. Batik motifs can be documented by
changing batik motifs into images or images.
One way to change batik motifs into images is by using optical devices such as cameras,
scanners, and so on. The authenticity of batik motifs from the documentation needs to be done by
detecting the edge of the batik so that the batik motif can be maintained properly. One method
used is to use the canny method in Matlab 2013, but edge detection with canny has weaknesses in
images that have uneven gray values, so to level up the grayishness of batik it is necessary to
improve the image using the histogram equalization method.
Detection of batik edges with image improvement using histogram equalization method
and canny method can improve the detection results with the number of test data 13 with a total
of batik images that can be repaired 10 batik images and 3 batik images have not been able to be
repaired. The best MSE value is 0.229538 and PSNR is 54.5563. Poor value with MSE 0.676356
and PSNR 49,863.