Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Design and Implementation of Image Retrieval System Based on Block Color Moments and GLCM

Authors
Zhi-Hui Wang, Xiao-Li Ge, Wen-Bo Xu, Yue-Jiao Fan, Qi-La Sa, Jin-Lin Li
Corresponding Author
Zhi-Hui Wang
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.67How to use a DOI?
Keywords
image retrieval; color moments; edge detection; GLCM(gray level co-occurrence matrix)
Abstract
In this paper, aiming to overcome the shortcoming of global color histogram which lack of color spatial distribution information, block color moment is used to describe the color feature. In order to extract the texture feature, Canny operator for edge detection is applied firstly, and then the gray level co-occurrence matrix of the edge image is constructed. The results prove that comprehensive of color and texture in image retrieval method overcomes the limitations of using a single, at the same time it improves the retrieval accuracy and speed.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/ceis-16.2016.67How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhi-Hui Wang
AU  - Xiao-Li Ge
AU  - Wen-Bo Xu
AU  - Yue-Jiao Fan
AU  - Qi-La Sa
AU  - Jin-Lin Li
PY  - 2016/11
DA  - 2016/11
TI  - Design and Implementation of Image Retrieval System Based on Block Color Moments and GLCM
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.67
DO  - https://doi.org/10.2991/ceis-16.2016.67
ID  - Wang2016/11
ER  -