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

• Main Authors: Kun-Wei Chou, 周昆衛
• Other Authors: Wen-Hsiang Tsai
• Format: Others
• Language: en_US
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/66227220859789609610

碩士 === 國立交通大學 === 資訊科學系 === 88 === A library or museum contains various types of pictures, such as large-scale picture, painting, miniature, etc. To establish a complete digital library or museum, it is necessary to develop an effective scheme to take digital images of pictures. Because the size of a picture in a library or museum is usually larger than the scanning area of a common scanner, the scanner cannot be used to scan the picture. For this reason, a special-purpose scanning system for scanning large-scale pictures is proposed in this study. First, a new approach to automatic image detection is proposed to control a camera mounted on an X-Y table automatically 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 propose a set of convenient and efficient algorithms to solve these problems. Good experimental results show the feasibility of the proposed system.