Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

Content-Based Image Retrieval Using Texture Structure Histogram

Authors
Hou Gang, Feng Qinghe, Zhang Xiaoxue, Kong Jun, Zhang Ming
Corresponding Author
Hou Gang
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.166How to use a DOI?
Keywords
image retrieval texture structure histogram feature representation
Abstract
In this paper, we proposed a novel image feature descriptor, namely texture structure histogram (TSH) for content-based image retrieval. This method using the color and edge orientation information to describe the image texture structure information. Considering the HSV color space conforms to humans' visual perception mechanism, the feature extraction is conducted in the HSV color space. This paper puts forward the non-equal interval quantization scheme that makes the expression of the image information to be more reasonable. In feature representation phase, we use the feature fusion mechanism that makes the color and shape information merge together and get a better results. The experiment re-sults demonstrate that the proposed method more efficient and have a high retrieval performance.
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Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.166How 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  - Hou Gang
AU  - Feng Qinghe
AU  - Zhang Xiaoxue
AU  - Kong Jun
AU  - Zhang Ming
PY  - 2013/11
DA  - 2013/11
TI  - Content-Based Image Retrieval Using Texture Structure Histogram
BT  - 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.166
DO  - https://doi.org/10.2991/icmt-13.2013.166
ID  - Gang2013/11
ER  -