Abstract:
The automatic stitching technology of fragments has an important role in the fields of restoration of cultural relics, restoration of judicial material evidence and medical image processing. Now, the stitching is mainly done manually, and its efficiency is pretty low, so it is particularly important to implement computer automatic stitching technology. Traditional automatic stitching of scrapped paper based on machine vision has poor adaptability and low accuracy for irregular scrapped paper. Aiming to solve these problems, a multi-dimensional stitching method of irregular scrapped paper based on combining edge shape descriptors with color information is proposed. Firstly, the position and color information of the edge of the fragment are extracted.Then, based on the features that key point can effectively improve the efficiency of fragment splicing, edge position information is segmented and the edge curve is fitted, and the key points by the curvature of piecewise curve are obtained.Finally, regard the distance information of key points as matching information to find the adjacent fragments based on using the gray-level to complete the fragments stitching. After the stitching is completed, the color information of the edge of the fragment is used to verify whether the splicing is correct. The innovation of this method lies in the effective combination of edge shape and grayscale information, and it is more suitable for the mosaic of irregular fragments. Compared with the traditional method, this method improves the matching success rate of irregular fragments in different scenarios to more than 90%, simplified calculations and reduce time consumption.
