Wayang Image Classification Using MLP Method and GLCM Feature Extraction

M. H. Santoso, D. Larasati, Muhathir Muhathir
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引用次数: 8

Abstract

Wayang is a form of shadow art that has been known to the Javanese people more than 1500 years ago. For Javanese people, the function of wayang is not only as a spectacle but also as a request, because in the wayang story there are values that are important to Javanese society. Wayang has developed from time to time, there are many types of wayang in Indonesia, with many types of wayang in Indonesia, of course preserving the art of wayang kulit is not an easy thing, especially because this traditional art is not yet very popular among young people, especially in the regionsburban. Today's young people use technology more in finding information, such as using laptops or smartphones. Because to make it easier for people who want to know about puppets and their types, a technology is created that can distinguish the types of puppets based on wayang images. So this research was made using the MLP (The Multi Layer Perceptron) method and its extraction feature GLCM (Gray-Level Co-Occurrence Matrix) with a total system accuracy of recognizing wayang image objects up to 73.4%.
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基于MLP方法和GLCM特征提取的大阳图像分类
Wayang是爪哇人在1500多年前就知道的一种皮影艺术。对于爪哇人来说,wayang的功能不仅是作为一种奇观,而且是一种请求,因为在wayang故事中有对爪哇社会很重要的价值观。Wayang不时地发展,印度尼西亚有很多类型的Wayang,印度尼西亚有很多类型的Wayang,当然保存Wayang kulit艺术并不是一件容易的事情,特别是因为这种传统艺术在年轻人中还不是很受欢迎,特别是在郊区。今天的年轻人更多地使用技术来查找信息,比如使用笔记本电脑或智能手机。因为为了让那些想要了解木偶及其类型的人更容易,一项技术被创造出来,可以根据wayang图像区分木偶的类型。因此,本研究采用多层感知器(MLP)方法及其提取特征灰度共生矩阵(GLCM)对wayang图像目标进行识别,系统总准确率可达73.4%。
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