Color and Hyperspectral Image Segmentation for Historical Documents

被引：0

作者：

Ciortan, Irina ^{[1
]}

Deborah, Hilda ^{[1
,2
]}

George, Sony ^{[1
]}

Hardeberg, Jon Y. ^{[1
]}

机构：

[1] Gjovik Univ Coll, Dept Comp Sci & Media Technol, Norwegian Colour & Visual Comp Lab, POB 191, N-2802 Gjovik, Norway

[2] Univ Poitiers, CNRS, UMR 7252, Lab XLIM,SIC, F-86962 Futuroscope, France

来源：

2015 DIGITAL HERITAGE INTERNATIONAL CONGRESS, VOL 1: DIGITIZATION & ACQUISITION, COMPUTER GRAPHICS & INTERACTION | 2015年

关键词：

hyperspectral imaging; cultural heritage; historical documents; classification; segmentation; distance function; INKS; TOOL;

D O I：

暂无

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

Several historical documents from the collection of the National Library of Oslo were acquired using a hyperspectral scanner. While each of the documents has its specific characteristics, requiring different image preprocessing steps, the common goal for all documents is to increase their legibility. The aim of this study is to show the advantage of hyperspectral imaging compared to traditional color imaging, in particular for the task of ink separation using distance-based classification method.

引用

页码：199 / 205

页数：7

共 21 条

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