Combination of Otsu and Canny Method to Identify the Characteristics of Solo Batik as Surakarta Traditional Batik

Abstract

Batik Surakarta has characteristics that not everyone understands, the difference in characteristics lies in the design characteristics, primary colors, and motifs. Surakarta's traditional batik designs and motifs have cultural values that are worth preserving. The combination of the otsu method and the canny method is used to build an application system to improve the results of identifying traditional Surakarta batik images, characteristic features, and shapes of batik patterns. Segmentation is done by partitioning the image into the object area using otsu and determining the boundary of the object using canny to get the characteristics of the image. The results of segmentation processed by selecting and extracting features by selecting quantitative information from existing features using the GLCM method. The characteristics taken are energy, homogeneity, correlation, and contrast. The results of the four characteristics classified into seven Surakarta batik classes, namely Kawung motif, Sido Mukti motif, Truntum motif, Sawat motif, Satrio Manah motif, Parang motif, and Semen Rante motif. The data used are 100 image data, which divided into 70 training data and 30 test data. The results showed that the accuracy rate was 93%.