英文摘要 |
This paper proposes a content-based feature for shape classification of tortoise Jiagu rubbings fragments to classify the rubbings fragments according to the shape rules of the bone plates defined by archaeologists. The main goal is to provide archaeologists with a mode of efficient classification. This paper consists of three parts: the preprocessing of the rubbings fragments, feature extraction, the construction of a database, and the development of a mode of classification. The work The Great Collection of the Oracle Inscriptions offers 23 complete tortoise shells. According to the nine shapes of bone plates, these 23 complete tortoise shells can each be cut into 9 pieces. Then the 23 fragments in each of the nine classes can be used in the construction of a database, analysis of the features of each class, and the design of the mode of classification. Experimental results indicate that the proposed method has 94% accuracy in classifying 1,712 rubbings of fragments, whether the shapes are similar to those of the nine bone plates or not. With a total execution time of 383 seconds (including all input image preprocessing, feature extraction, and classification), this method can effectively reduce the time that is required for archaeologists to classify fragments by shape. |