Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/69125
標題: Image retrieval by texture similarity
作者: Huang, P.W.
黃博惠
Dai, S.K.
關鍵字: content-based
image retrieval
image database
wavelet decomposition
texture similarity
CSG vector
EDP-string
wavelet transform
gabor filters
discrimination
classification
segmentation
statistics
features
representation
signatures
期刊/報告no:: Pattern Recognition, Volume 36, Issue 3, Page(s) 665-679.
摘要: Accuracy and efficiency are the two important issues in designing content-based image retrieval systems. In this paper, we present an efficient image retrieval system with high performance of accuracy based on two novel features, the composite sub-band gradient vector and the energy distribution pattern string. Both features are generated from the sub-images of a wavelet decomposition of the original image. A fuzzy matching mechanism based on energy distribution pattern strings serves as a filter to quickly remove undesired images in the database from further consideration. The images passing the filter will be compared with the query image based on composite sub-band gradient vectors which are extremely powerful for discriminating detailed textures. Through several extensive experiments by exercising our prototype system with a database of 2400 images, we demonstrated that both high accuracy and high efficiency can be achieved at the same time by our approach. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
URI: http://hdl.handle.net/11455/69125
ISSN: 0031-3203
文章連結: http://dx.doi.org/10.1016/s0031-3203(02)00083-3
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