The Research of Techniques in Content-based Image Retrieval

DOI

10.2991/iccia-19.2019.76How to use a DOI?

Keywords

image retrieval; feature extraction; Similarity matrix.

Abstract

Image feature extraction is the realization of content-based image retrieval based on the first step, but also is the most critical step. Image feature extraction is suitable or not directly affect the performance of image retrieval system, this paper describes the features of the image, and construct a feature-based similarity metric matrix. By using these matrix combinations, a kernel based image similarity measurement matrix is constructed, which lays the foundation for the clustering processing of similarity matrix.

Copyright

© 2019, 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  - Jing Chang
AU  - Dong Liu
PY  - 2019/07
DA  - 2019/07
TI  - The Research of Techniques in Content-based Image Retrieval
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 490
EP  - 494
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.76
DO  - 10.2991/iccia-19.2019.76
ID  - Chang2019/07
ER  -