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การจำแนกระดับความคล้ายคลึงของเหรียญพระด้วยวิธีการรู้จำแบบ

Year: 2019

Type: article

Abstract: Nowadays, the Buddhist amulets have been produced many processes such as melting using a metal stamping mold. Each mentioned method effects the different earmark. The earmark is an important indicator of the inspection of Buddhist amulets. This research aims to classify the similarities of Buddhist amulets using the pattern recognition method. The image's front view and back view of Buddhist amulet have been analyzed by three algorithms of Low Discrepancy Sampling, LD, Grayscale Value Pyramid, GV and Laplace-Gradient Wavelet Pyramid, GP. The result was analyzed by using variance analysis at 95% confidence interval with Least-Significant Different, LSD method. It was found that the LD algorithm provided the most accurate and the learning time was 93.732% and 0.071 ms, respectively.

Source: Journal of Engineering and Technology, Uttaradit Rajabhat University

Authors: Auampieam, Anurak Auampieam, janyang, Wunwisa, Phromfaiy, Apisak, Intuwong, Gunt, Buntam, Dussadee

Institution: Uttaradit Rajabhat University

Language: Thai

Topic: Image Retrieval and Classification Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W7220163436

FWCI:

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