A Large-Scale Picture Scanning System Based on Automatic Image Detection and Content Corrections

Abstract

Because the size of a picture in a library or museum is usually larger than the scanning area of a common scanner, a special-purpose scanning system for scanning large-scale pictures is proposed to establish a complete digital library or museum. First, a new approach to automatic image detection is proposed to scan a large-scale picture into several image pieces. Next, since the image pieces may be taken under various conditions of positioning, lighting, geometric distortion, perspective transformation, etc., a lot of problems arise in the process of integrating the image pieces to set up a complete image for the picture. In this study, we also propose a set of convenient and efficient algorithms to solve these problems. Good experimental results show the feasibility of the proposed system.