학술논문

Wove paper analysis through texture similarities
Document Type
Conference
Source
2016 50th Asilomar Conference on Signals, Systems and Computers Signals, Systems and Computers, 2016 50th Asilomar Conference on. :144-148 Nov, 2016
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Wires
Art
Feature extraction
Surface texture
Weaving
Watermarking
Printing
Language
Abstract
Wove paper, made on a papermaking screen or mold having a surface of smooth tightly woven wires, was the predominant paper type used for printing in the twentieth century. To aid in the study and classification of fine art prints on wove paper, the present work compares the results of five different image processing approaches for characterizing surface texture. Using a collection of popular wove papers, a reference dataset of raking light close-up images was assembled. Five research teams undertook their own processing strategies to detect affinities among the paper samples. Their success in identifying similarity groupings are reported.