Combination of Color and Significant Edge Features in Image Retrieval
Authors
Chen Liu, Zhou Wei
Corresponding Author
Chen Liu
Available Online June 2014.
- 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/).
Cite this article
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 -