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Object Feature Extraction for Image Retrieval Based on Quadtree Segmented Blocks

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5 Author(s)
Shou-Yi Tseng ; Dept. of Comput. Sci. & Inf. Manage., Soochow Univ., Taipei, Taiwan ; Zhi-Yu Yang ; Wen-Hsuan Huang ; Chin-Yi Liu
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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 performance is effectively improved as compared with the pixel based method.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:6 )

Date of Conference:

March 31 2009-April 2 2009