论文信息 - Image information retrieval using rough set theory

Image information retrieval using rough set theory

We describe a method for automatically generating an image retrieval algorithm corresponding to keywords. The retrieval algorithm that we proposed consists of a scalar quantizer and discriminator and can be generated quickly and automatically by utilizing the idea of rough set theory. We demonstrated through experiments that the proposed method is effective to generate image retrieval algorithms.

[1] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.

[2] Hiroshi Tanaka,et al. PRIMEROSE: PROBABILISTIC RULE INDUCTION METHOD BASED ON ROUGH SETS AND RESAMPLING METHODS , 1995, Comput. Intell..

[3] marsicoi De. Indexing pictrial documents by their content : Asurvey of current techniques , 1997 .

[4] Luigi Cinque,et al. Indexing pictorial documents by their content: a survey of current techniques , 1997, Image Vis. Comput..

[5] Yoshinori Sakai,et al. Image retrieval system based on interactive reduction of feature space , 1998, Electronic Imaging.

[6] Yoshinori Sakai,et al. Image retrieval by estimating parameters of distance measure , 1999, Electronic Imaging.

[7] Ning Zhong,et al. Rule Discovery by Probabilistic Rough Induction , 2000 .