Batik Image Search System with Extracted Combination of Color and Shape Features

Abstract

Batik is a culture-dependent technique and symbolism surrounding hand-dyed cotton and silk garments from Indonesia It an cultural art that has a long history of acculturation, with diverse patterns influenced by a variety of cultures. Each region in Indonesian has specific colors and shapes reflecting the identity of the region. Due to many diverse Batik' patterns and colors, it is difficult to retrive the Batik images from both the color and pattern. In this paper we propose a new system for Batik image search with providing an analytical function for feature extraction by involving color and shape features and combining the extracted features. We use 3D-Vector Quantization for color feature extraction. It can uniformly represent the distribution of image colors and reduce complexity of the colors. Beside the color features, we also use shape features of the Batik by applying Hu's moment. The extracted shape features from the Hu's moment consists of orthogonal moment invariants those can be used for scale, position, and rotation invariant pattern identification for the Batik patterns. Finally, the distribution of color moments are used to aggregate the extracted color and shape features. For experimental study, we apply our proposed system to 210 Batik image dataset from 3 common Batik kinds of pattern: Kawung, Parang and Mega Mendung. The system performs the easy-to-use application for the users in which they may easily search the Batik images with involving both the color and shape features