Combination of Color and Significant Edge Features in Image Retrieval

DOI

10.2991/csss-14.2014.169How to use a DOI?

Keywords

CBIR; feature retrieval; HSV color; Canny edge

Abstract

Content Based Image Retrieval (CBIR) has been stirred in last decades since the dramatic rise in the sizes of images databases. In this paper, a CBIR system is proposed combining features of color and significant edge. To promote the whole performance, compact quantizing method in HSV color space and revised Canny edge retrieval methods are adopted in feature retrieval process. User regulated weights make the integrated similarity customized. Experiments show the accuracy and efficiency of the proposed retrieval method.

Copyright

© 2014, 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  - Chen Liu
AU  - Zhou Wei
PY  - 2014/06
DA  - 2014/06
TI  - Combination of Color and Significant Edge Features in Image Retrieval
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 724
EP  - 727
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.169
DO  - 10.2991/csss-14.2014.169
ID  - Liu2014/06
ER  -