Feature Extraction for Image Matching in Wat Phra Chetuphon Wimonmangklararam Balcony Painting with SIFT Algorithms

The novel algorithms for feature extraction using in image matching for balcony painting in Wat Phra Chetuphon Wimonmangklararam was introduced in this research. The proposed techniques were carried out with the help of key points provided by SIFT algorithms. The suggested techniques were aimed at retrieving information from within an image. The Content-Based Image Retrieval (CBIR) method was used. In the matching procedure, the created key point and descriptors were used as input. The algorithms were tested in the Wat Phra Chetuphon Wimonmangklararam corridor. Traditional algorithms were compared to our proposed technique. In comparison to the previous approach, the accuracy obtained from the experiments showed that the suggested framework could efficiently provide the user with the correct descriptions. The proposed algorithms' results can be utilized to match the balcony painting at this temple, with an average accuracy of 95.98 percent.