Please use this identifier to cite or link to this item:
|Title:||Content-based image retrieval using stochastic paintbrush transformation|
|Authors:||Kato, Z. |
|Source:||Kato, Z.,Ji, X.,Sziranyi, T.,Toth, Z.,Czuni, L. (2002). Content-based image retrieval using stochastic paintbrush transformation. IEEE International Conference on Image Processing 1 : I/944-I/947. ScholarBank@NUS Repository.|
|Abstract:||Herein, we propose a new content based image retrieval method. The novelty of our approach lies in the applied image similarity measure: Unlike traditional features like color, texture or shape, our measure is based on a painted representation of the original image. We use paintbrush stroke parameters as features. These strokes are produced by a stochastic paintbrush algorithm which simulates a painting process. Stroke parameters include color, orientation and location. Therefore, it provides information not only about the color content but also about the structural properties of an images. Experimental results on a database of more than 500 images show that the CBIR method using paintbrush features has higher retrieval rate than methods using color features only.|
|Source Title:||IEEE International Conference on Image Processing|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 16, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.