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Paper Feature Extraction from Digital Images
- Author(s):
- Shouji SAKAMOTO (see profile)
- Date:
- 2020
- Group(s):
- DH2020
- Subject(s):
- Computer art, History
- Item Type:
- Conference poster
- Conf. Title:
- DH2020
- Conf. Org.:
- ADHO
- Conf. Date:
- 20-24 July 2020
- Tag(s):
- paper analysis, paper feature, Digital archives, Digital art history
- Permanent URL:
- http://dx.doi.org/10.17613/4p5t-tn15
- Abstract:
- Digital archives are very useful to readers. However, they do not give enough information, such as paper, ink, and pigment, to satisfy researchers of materials and conservators of the documents. In this research, we describe paper feature extraction, such as laid and chain line pattern, watermark, syanome pattern, and itame pattern from digital images of paper.
- Metadata:
- xml
- Status:
- Published
- Last Updated:
- 3 years ago
- License:
- All Rights Reserved
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