Abstract
The problem of matching fragments of three-dimensional (3D) objects has gained increasing attention, and several approaches have been developed to solve this problem. To date, however, to the best knowledge of the authors, there is no computer-based method supporting archaeologists in this activity. For this purpose, in this paper, a semi-automatic approach is proposed for the reconstruction of archaeological pottery fragments based on two-dimensional (2D) images. Firstly, the method, considering the curves as features, involves the extraction of edge curves by applying the Canny filter algorithm to the fragments’ image. Next, the wavelet transformation method is used to fit the edge curves and obtain the approximation coefficients. Then, the correlation coefficients between fragments are computed and the matching of fragments is done by comparing their values. The proposed approach is tested on some real cases. The results of the experimentation show, if compared with the state-of-the-art, that the method seems to be efficient and accurate in the reconstruction of pottery from 2D images of their fragments.
Highlights
In every archaeological excavation in the world, a variety of pottery fragments are excavated by archaeologists
Advancements in low-cost and high-volume acquisition devices and computer systems have provided new tools for archaeologists to face the problem of reconstruction and improve the efficiency of work [6,7,8]
Advancements in low-cost, high-volume acquisition devices and computer systems have provided new tools for archaeologists to face the problem of reconstruction and improve the efficiency of their work
Summary
In every archaeological excavation in the world, a variety of pottery fragments (shortly called sherds) are excavated by archaeologists. Since fragments are typically found in large numbers with a wide variety of sizes and types, their reassembling to get the original shape is very time-consuming and costly [3] This issue has always been a concern for archaeologists because the reconstruction process is carried out manually, requiring a great deal of effort [4,5]. Visualization and computer vision techniques, such as image processing and pattern recognition, have been applied in the reassembling of archaeological finds to facilitate their analysis and understandings [5,6,7,8,9] These applications were carried out in two-dimensional (2D) or three-dimensional (3D) space [6,7].
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