Please use this identifier to cite or link to this item: https://doi.org/10.1016/0097-8493(95)00092-5
Title: Retrieval of artifact images using multidimensional multiresolution features
Authors: Ang, Y.H. 
Ong, S.H. 
Li, Z.
Issue Date: Jan-1996
Source: Ang, Y.H.,Ong, S.H.,Li, Z. (1996-01). Retrieval of artifact images using multidimensional multiresolution features. Computers and Graphics (Pergamon) 20 (1) : 51-59. ScholarBank@NUS Repository. https://doi.org/10.1016/0097-8493(95)00092-5
Abstract: This paper describes a novel method of image retrieval based on multidimensional shape and blob features. Multidimensional features enable different aspects of local and global features to be reliably characterized. In addition, feature analysis is applied to multiresolution images to extract feature details at different perceptual scales. Each feature set forms a 4-D feature vector in a multidimensional multiresolution feature space. Image decomposition with the wavelet transform is used for the extraction of blobs and for multiresolution feature analysis. We apply our method of image content analysis to the classification and retrieval of images of artifacts (namely, plates, bowls and vases), and show that multidimensional multiresolution features can adequately retrieve images with a high degree of perceptual similarity.
Source Title: Computers and Graphics (Pergamon)
URI: http://scholarbank.nus.edu.sg/handle/10635/50596
ISSN: 00978493
DOI: 10.1016/0097-8493(95)00092-5
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