Statistical shape based multispectral image retrieval extracting Power Spectrum Vectors

This paper reports a novel approach to statistical shape-based multispectral image retrieval. The proposed method starts with the definition and calculation of a statistical shape feature called power spectrum vector (PSV). Then independent component analysis (ICA) is used to extract independent PSV components. Later on, the PSV value for each image is presented by a linear combination of these independent components. In this way, a weight vector is calculated for each image in the system. These weight vectors are effectively used in the statistical shape-based retrieval process. The proposed method is implemented and tested on a set of LANDSAT multispectral images from variant sceneries. Finally, experimental results and evaluation for this approach are presented.

[1]  Wanlei Zhou,et al.  A Composite Descriptor for Shape Retrieval , 2007, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007).

[2]  Erkki Oja,et al.  Statistical Shape Features for Content-Based Image Retrieval , 2004, Journal of Mathematical Imaging and Vision.

[3]  Aapo Hyvärinen,et al.  Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.

[4]  Rama Chellappa,et al.  Stochastic models for closed boundary analysis: Representation and reconstruction , 1981, IEEE Trans. Inf. Theory.

[5]  Alex Pentland,et al.  Photobook: tools for content-based manipulation of image databases , 1994, Electronic Imaging.

[6]  Erkki Oja,et al.  PicSOM - content-based image retrieval with self-organizing maps , 2000, Pattern Recognit. Lett..

[7]  Shih-Fu Chang,et al.  VisualSEEk: a fully automated content-based image query system , 1997, MULTIMEDIA '96.

[8]  Alex Pentland,et al.  Photobook: tools for content-based manipulation of image databases , 1994, Other Conferences.

[9]  Markus Koskela,et al.  Content-Based Image Retrieval with Self-Organizing Maps , 1999 .

[10]  Erkki Oja,et al.  Independent Component Analysis , 2001 .

[11]  Ari Visa,et al.  Multiscale Fourier descriptor for shape-based image retrieval , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[12]  Dragutin Petkovic,et al.  Query by Image and Video Content: The QBIC System , 1995, Computer.

[13]  Jukka Iivarinen,et al.  A Novel Shape Feature for Image Classification and Retrieval , 2004, ICIAR.

[14]  Saeid Belkasim,et al.  Content-based Image Retrieval Using Gabor-Zernike Features , 2006, 18th International Conference on Pattern Recognition (ICPR'06).