Geometric Feature Extraction of Batik Image Using Cardinal Spline Curve Representation

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