Object Feature Extraction for Image Retrieval Based on Quadtree Segmented Blocks

@article{Tseng2009ObjectFE,
  title={Object Feature Extraction for Image Retrieval Based on Quadtree Segmented Blocks},
  author={Shou-Yi Tseng and Zhi-Yu Yang and Wen-Hsuan Huang and Chin-Yi Liu and Yi-Huei Lin},
  journal={2009 WRI World Congress on Computer Science and Information Engineering},
  year={2009},
  volume={6},
  pages={401-405}
}
This study proposed a new object feature extraction method that employs the quadtree decomposition. In the proposed method, we segmented the image into variable sized blocks, named homogeneous blocks, which are the units of feature extraction process. Because the quadtree decomposition can highlight the details of images, more feature information can be extracted from the visual important objects than from the monotone areas of the image. The experimental results show the image retrieval… CONTINUE READING

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