Content-Based Image Retrieval Using Texture Structure Histogram
Hou Gang, Feng Qinghe, Zhang Xiaoxue, Kong Jun, Zhang Ming
Available Online November 2013.
- https://doi.org/10.2991/icmt-13.2013.166How to use a DOI?
- image retrieval texture structure histogram feature representation
- 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.
- 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 -