Abstract
this paper describes Hybrid method and Similarity for recoginizing Javanese Keris. Javanese Keris is one of traditional javanese weapon. It is one of the Indonesia Cultural Heritage. Keris is famous for its distinctive wavy blade. But some of the keris has straight blades. There are many kinds of Keris and every Keris has its own unique pattern. The algorithm to recognize several types of Javanese Keris is made by using Edge Detection method with Image Segmentation and combine with Similarity. By using these three methods, it will bring more exact result. The method combines Canny Algorithm and Basic Morphological for image segmentation. The result of edge detection and image segmentation are compared with the sample pictures using similarity. Ten (10) images of traditional javanese keris are being used as samples. The final result for this study is recognizing the kind of keris. These techniques is carried out with an experiment by using MATLAB 6.0.1 software.
Highlights
Edge detection is one of the image processing techniques to identify the real edge of an image
Canny Algorithm is an effective algorithm to detect the edge of an object because the result of this method can produce single pixel thick.Using this method can detect continous edge, comparing with other edge detection algorithms [3]
The result of image segmentation and edge detection is combined by using similarity models to recognize image of javanese keris
Summary
Edge detection is one of the image processing techniques to identify the real edge of an image. Canny Algorithm is an effective algorithm to detect the edge of an object because the result of this method can produce single pixel thick.Using this method can detect continous edge, comparing with other edge detection algorithms [3] This algorithm can be used to recognize the object within an image. Canny algorithm is combined with the basic morphological method for image segmentation. The result of image segmentation and edge detection is combined by using similarity models to recognize image of javanese keris. Christopher, et al study about recognizing 3D objects using graf approach and similarity As the result, they found an effective method to recognize 3D objects using similarity model. The edge detection using Canny Algorithm and image segmentation using Basic Morphological are discussed.
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