A Novel Image Semantic Understanding and Feature Extraction Algorithm

DOI

10.2991/meici-16.2016.24How to use a DOI?

Keywords

Image semantic; Algorithm; Feature extraction; Semantic understanding

Abstract

In this paper, we propose a novel image semantic understanding and the feature extraction algorithm. Image stitching algorithm based on feature is extracted from the image of basic certain characteristics as matching primitives, usually in the form of general dot, line, area, or some special structures, etc., rather than directly using the image gray level itself, and then to these features as a model for registration. Thus, because the image matching algorithm based on feature extraction and image just some of the aspects of characteristics, namely extraction pixel is less, and makes the image registration time is greatly reduced. Under this theoretical support, we proposed the image semantic understanding and the feature extraction algorithm with the experimental verification that proves the effectiveness of the method that is meaningful.

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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TY  - CONF
AU  - Xinxin Xie
AU  - Wenzhun Huang
PY  - 2016/09
DA  - 2016/09
TI  - A Novel Image Semantic Understanding and Feature Extraction Algorithm
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 113
EP  - 117
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.24
DO  - 10.2991/meici-16.2016.24
ID  - Xie2016/09
ER  -