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Indexing of the Vocabularies of Han Wooden Strips by Computer

汉木条词汇的计算机索引

基本信息

批准号：
63450050
负责人：
OBA Osamu
金额：
$ 2.5万
依托单位：
Kansai University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (B)
财政年份：
1988
资助国家：
日本
起止时间：
1988 至 1989
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-63450050/
关键词：
Image Database System Dun-Huang Wooden Strips Image Processing Rebound Strips Feature Extraction Dun-Huang Han-Jian Ju-Yan Han-Jian Vocabulary Indices 画像データベース

项目摘要

This research consists of the following three parts:(I) survey of the advance of image database systems;(2) the design and construction of the image database system of the Dun-Huang Han wooden strips, and indexing of ancient vocabularies found in the wooden strips;(3) image processing of the images of wooden strips and feature extraction by introducing geometrical parameters.Firstly, we survey image database systems constructed in the various fields, especially focusing on the organization of systems, and point out the underlying problems from the viewpoint of their possibility of the future advance in the human sciences.Secondly, we design and construct an experimental image database system of the Dun-Huang Han wooden strips. All the vocabularies implemented in the system are based on both our interpretation of sentences in the wooden strips and many materials presented in this field, while their image data are obtained from the documents of E. Chavannes and H. Maspero through a scann … More er or a CCD camera. We explain the way how to cut out a single image automatically from many wooden strips placed in the same page, and how to cut out a single character semi-automatically in a row of Chinese characters, in detail. We have indexed several kinds of vocabularies, such as person's names, place names, government official names, names of era, idioms. By using this system we are able to retrieve a single Chinese character from each sentence in a wooden strip, in the style of KWIC(Key Word In Context) sorting, as well as in the usual format. We believe that this system gives a foundation in the research of Han wooden strips.Thirdly, we convert the original Chinese character images into two-gray level images and thinner the resulting images by well-known image processing techniques so that we may extract features of ancient Chinese characters and get a key to rebind wooden strips in the original order. We examine geometrical parameters, by applying them to "Lin-hu-sui ce-shu', "ce-shu of Yuan-Kang 5', "Ju-Yan Han-Jian ce-shu", which were rebound for their original order in 1987, 1961, 1988, respectively. Less

本研究包括以下三个部分：（一）图像数据库系统的进展综述；（二）敦煌汉木条图像数据库系统的设计与构建，并对木条中的古代词汇进行索引；（三）木条图像的图像处理和引入几何参数的特征提取。其次，设计并构建了敦煌汉木简实验图像数据库系统。系统中实现的所有词汇都是基于我们对木条中的句子和该领域呈现的许多材料的解释，而它们的图像数据是通过扫描仪或CCD相机从E. Chavannes和H. Maspero的文档中获得的。我们详细介绍了如何从同一页面中放置的许多木条中自动剪切出单个图像，以及如何在一行汉字中半自动剪切出单个字符。我们索引了多种词汇，例如人名、地名、政府官员名称、时代名称、成语。通过使用该系统，我们能够以 KWIC（上下文中的关键字）排序的方式以及通常的格式从木条中的每个句子中检索单个汉字。我们认为该系统为汉木条的研究奠定了基础。第三，我们将原始汉字图像转换为两级灰度图像，并利用众所周知的图像处理技术将所得图像进行细化，以便提取古汉字的特征并获得按原始顺序重新绑定木条的密钥。我们将几何参数应用于分别在1987年、1961年、1988年恢复原序的“临湖随测数”、“元康5号测数”、“巨衍汉建测数”。较少的