Acta Optica Sinica, Volume. 29, Issue 10, 2721(2009)
Image Retrieval Based on Text-Retrieval Technology
In order to introduce effectively text-retrieval technologies into content-based image retrieval,a novel method is presented. Firstly,according to the human visual feature and principle of the block truncation code (BTC),the image is divided into non-overlapped and equally-sized sub-blocks which can embody the texture and edge information of the original image. These blocks are defined and the sub-features are extracted,based on which the image is mapped into the text. Then,the text is chosen as key words and the technology of text-based retrieval is adopted for image retrieval. The content of the image and the text-based retrieval technology are considered,and experimental results have shown that the proposed method has sound and robust retrieval performance.
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Zhao Shan, Tang Yongli. Image Retrieval Based on Text-Retrieval Technology[J]. Acta Optica Sinica, 2009, 29(10): 2721
Category: Image Processing
Received: Aug. 4, 2008
Accepted: --
Published Online: Oct. 19, 2009
The Author Email: Shan Zhao (zhaoshan_9228@163.com)