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

DOI

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.

Copyright

© 2017, 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  - 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  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 331
EP  - 337
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.67
DO  - 10.2991/ceis-16.2016.67
ID  - Wang2016/11
ER  -