Previous [1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

¡@

Journal of Information Science and Engineering, Vol.19 No.1, pp.1-14 (January 2003)


Fractal Image Process Based Image Comparison Search

Kwang-Fu Li, Tung-Shou Chen and Kuei-Hao Chen
Department of Information Management
National Taichung Institute of Technology
Taichung, 404 Taiwan
E-mail: kfl@ntit.edu.tw
E-mail: tschen@taiwan.com

A search engine allows users to quickly obtain information from networks. Traditional search engines can only search the data of modal characters. However, when users obtain an image from a newspaper or magazine, they want to retrieve related information about this type of image through a search engine, traditional search engines are incapable of meeting their needs. To help solve this problem, this paper provides an Image Comparison Search Engine (ICSE), and makes use of ¡§Fractal Image Processing¡¨ to create a database using image eigenvalues. When users input an image query, this system will generate image eigenvalue data, compare this with the data in the database of image eigenvale, and output the results. Based on our experimental results, ICSE can not only find the exact input image for the source image, but also find the ¡§right image¡¨ when the source image is rotated and misty, and contains impurities. Hence, the proposed ICSE technique provides flexibility and is practical for use in real life.

Keywords: fractal image processing, search engine, mean, range block, domain block

Full Text (¥ş¤åÀÉ) Retrieve PDF document (200301_01.pdf)

Received September 20, 2001; accepted April 15, 2002.
Communicated by Jang-Ping Sheu, Makoto Takizawa and Myongsoon Park.