Geometric Feature Extraction of Batik Image Using Cardinal Spline Curve Representation
Abstract: Batik is an
Indonesian national heritage which has been recognized as a world cultural
heritage (world heritage). Batik is widely used as clothing material. The
advancement of technology allowed the material optimization in clothing design.
Geometrical information of batik image is required in a modul for optimizing
clothing design with batik as raw material. Geometric feature extraction of
batik image is used to help computer to recognize batik's pattern or motif.
This research proposes a method for geometric feature extraction of batik image
by using cardinal spline curve representation. The method for geometric feature
extraction is divided into 2 processes, i.e., feature extraction for Klowongan
and feature extraction for Isen-Isen. Klowongan represents pattern of batik
image, whereas Isen-Isen is content patterns of Klowongan. Feature extraction
of Klowongan is performed by deleting collinear points from object boundaries
until the dominant points are obtained. The dominant points are then used as
control points. Feature extraction of Isen-Isen is performed by saving coordinate
of every connected components which are also used as control points. Geometry
feature of batik image is represented as a set of control points of klowongan
and isen-isen. Batik image can be reconstructed by drawing cardinal spline
curve using a set of control points in the geometric representation. The
experiment shows that the reconstructed images is visually similar with the
original batik image.
Author: Aris Fanani, Anny
Yuniarti, Nanik Suciati
Journal Code: jptkomputergg140054
