Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)

A Method for Image Mosaic of Textile Printing Fabric Based on SIFT Feature Matching

Authors
Suyi Liu
Corresponding Author
Suyi Liu
Available Online September 2016.
DOI
10.2991/meici-16.2016.198How to use a DOI?
Keywords
SIFT; Image mosaic; Feature matching; Textile printing fabric
Abstract

Image mosaic is the technique to stitch a series of overlapped pictures into a bigger one. The quality of image mosaic mainly depends on the precision of image registration. In the process of image mosaic the features should be acquired and matched accurately. Recently, SIFT(Scale Invariant Feature Transform) feature matching algorithm is becoming the focus of the image mosaic. In this paper focuses on the point matching of the textile fabric by SIFT. As is known to all, in the detection of textile fabrics, the image acquisition is the key, Based on this, this article through the SIFT algorithm for textile printing image stitching, get a picture of a wide range of complete image.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
September 2016
ISBN
10.2991/meici-16.2016.198
ISSN
1951-6851
DOI
10.2991/meici-16.2016.198How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Suyi Liu
PY  - 2016/09
DA  - 2016/09
TI  - A Method for Image Mosaic of Textile Printing Fabric Based on SIFT Feature Matching
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 953
EP  - 957
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.198
DO  - 10.2991/meici-16.2016.198
ID  - Liu2016/09
ER  -