Automated Generating Thai Stupa Image Descriptions with Grid Pattern and Decision Tree

This research presents a novel algorithm for generating descriptions of stupa image such as stupa’s era, stupa’s architecture and other description by using information inside image which divided into grid and learning stupa description from the generated information with decision tree. In this paper, we get information inside image by divided image into several grid patterns, for example 10 × 10 and use data inside that image to submit to the decision tree model. The proposed algorithm aims to generate the descriptions in each stupa image. Decision tree was used for being the classifier for generating the description. We have presented a new approach to feature extraction based on analysis of information in image by using the grid information. The algorithms were tested with stupa image dataset in Phra Nakhon Si Ayutta province, Sukhothai province and Bangkok. The experimental results show that the proposed framework can efficiently give the correct descriptions to the stupa image compared to using the traditional method.