Paper
13 April 2018 A comparative analysis of image features between weave embroidered Thangka and piles embroidered Thangka
Zhenjiang Li, Weilan Wang
Author Affiliations +
Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 106960O (2018) https://doi.org/10.1117/12.2310067
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria
Abstract
Thangka is a treasure of Tibetan culture. In its digital protection, most of the current research focuses on the content of Thangka images, not the fabrication process. For silk embroidered Thangka of "Guo Tang", there are two craft methods, namely, weave embroidered and piles embroidered. The local texture of weave embroidered Thangka is rough, and that of piles embroidered Thangka is more smooth. In order to distinguish these two kinds of fabrication processes from images, a effectively segmentation algorithm of color blocks is designed firstly, and the obtained color blocks contain the local texture patterns of Thangka image; Secondly, the local texture features of the color block are extracted and screened; Finally, the selected features are analyzed experimentally. The experimental analysis shows that the proposed features can well reflect the difference between methods of weave embroidered and piles embroidered.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenjiang Li and Weilan Wang "A comparative analysis of image features between weave embroidered Thangka and piles embroidered Thangka", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106960O (13 April 2018); https://doi.org/10.1117/12.2310067
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Feature extraction

Image analysis

Statistical analysis

Image processing

Image segmentation

Visualization

Digital image processing

RELATED CONTENT


Back to Top