Segmentation and extraction of Songket motifs using region labeling / Mohd Sharizal Safaruddin

Songket motif is one of Malaysia traditional art that fill the richness of cultural heritage
that reflected in the handicraft design products. Nowadays, a lot of abstract motifs exist
that will eliminate the original motifs shape and structures. In order to collect the motifs,
segmentation technique of an image is taken into this project. Segmentation is the
intermediate level in image processing and it can be viewed as separating the image into
disjoint or non overlapping regions. A study has made in this project by applying region
or object labelling segmentation technique over the motifs. Before region labelling
technique could be applied, the scanned photos of songket motifs have gone through
preprocessing medium. The preprocessing task indicates three processes that are image
conversion, image transformation and image enhancement. After segmentation process,
extraction of motifs is performed to get the result of isolated motifs for each input
images. Then, the measurement for accuracy of using region labelling technique is made
from the observation of criteria that have been determined by from its correct segmented
motifs result and actual existed motifs. Calculations for accuracy segmented motifs are
using simple mathematical formulation in order to obtain its percentage performance.
Eventually, it is shown that region labelling segmentation technique is useful to use in
motifs segmentation and extraction. From the motifs result, a discussion is made due to
some results that are shown is unexpected. Lastly, recommendation is pointed out to
improve the technique of region labeling in segmentation of motifs.