Journal Paper

Paper Title - An Efficient CBIR Scheme Using Combined Features


Abstract
In this paper, we propose a practical image retrieval scheme based on the issue of texture, color space and relevance feedback features extractions. The algorithm for an effective image retrieval scheme to retrieve images is presented. We propose a scheme using color and texture features and address the unique algorithm to extract the color pixel features by the RGB color sequence coding, the texture features of Homogeneous Texture Descriptor (HTD) and relevance feedback. The proposed scheme transfers each image to a quantized color code using the regulations of the properties in compliance with RGB color sequence coding model and then employing the quantized color code, the texture feature of Homogeneous Texture Descriptor (HTD) to compare the images of database along with relevance feedback feature. Experimental of the proposed scheme performed on SIMPLI city image database to demonstrate more efficient and effective than the conventional schemes. Keywords- Homogeneous Texture Descriptor, RGB color sequence coding, Relevance feedback, Gabor filter


Author - Ching-Hung Su, Chiunhsiun Lin, Wei-Kai Cheng

Citation - Ching-Hung Su   ,   Chiunhsiun Lin   ,   Wei-Kai Cheng   ,   Ching-Hung Su, Chiunhsiun Lin, Wei-Kai Cheng " An Efficient CBIR Scheme Using Combined Features " , International Journal of Industrial Electronics and Electrical Engineering , Volume-4,Issue-9  ( Sep, 2016 )

Indexed - Google Scholar


| PDF |
Viewed - 0
| Published on 2016-10-24