A Partitioning Image Retrieval Method Based on Regional Division and Polymerization

Authors
Quan LI
Corresponding Author
Quan LI
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.692How to use a DOI?
Keywords
shape feature,image segmentation, spatial information, image retrieval
Abstract
In order to further improve the retrieval accuracy of the image retrieval system based on shape feature. A partitioning image retrieval method based on regional division and polymerization is proposed in this paper. Firstly, an image is segmented by the regional division and polymerization method. Secondly, the shape and spatial features of different objects in the image are extracted by the invariant moment. Finally, images are retrieved by calculating the similarity of images, and five different types of images are tested by group. The experimental results show that it is more accurate for the algorithm to retrieve the user’s interested images.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.692How 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  - Quan LI
PY  - 2013/03
DA  - 2013/03
TI  - A Partitioning Image Retrieval Method Based on Regional Division and Polymerization
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
SP  - 2776
EP  - 2779
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.692
DO  - https://doi.org/10.2991/iccsee.2013.692
ID  - LI2013/03
ER  -