Rotation-invariant texture retrieval using wavelet-based hidden Markov trees

Article

Rallabandi, Venkateswara Rao and Rallabandi, V. P. Subramanyam. 2008. "Rotation-invariant texture retrieval using wavelet-based hidden Markov trees ." Signal Processing. 88 (10), pp. 2593-2598. https://doi.org/10.1016/j.sigpro.2008.04.019
Article Title

Rotation-invariant texture retrieval using wavelet-based hidden Markov trees

ERA Journal ID4509
Article CategoryArticle
AuthorsRallabandi, Venkateswara Rao (Author) and Rallabandi, V. P. Subramanyam (Author)
Journal TitleSignal Processing
Journal Citation88 (10), pp. 2593-2598
Number of Pages6
Year2008
Place of PublicationAmsterdam, Netherlands
ISSN0165-1684
1872-7557
Digital Object Identifier (DOI)https://doi.org/10.1016/j.sigpro.2008.04.019
Web Address (URL)http://www.sciencedirect.com/science/article/pii/S016516840800145X
Abstract

In this paper, we present a novel approach for rotation-invariant texture retrieval using multistated wavelet-based hidden Markov trees (MWHMT). We propose a new model to capture statistical dependencies across three independent wavelet subbands. The proposed approach has been applied to CBIR application, rotation-invariant texture retrieval. The feature extraction of the texture is then performed using the signature of the texture, which is generated from the wavelet coefficients of each subband across each scale. We used Kullback–Leibler (KL) distance measure to find the similarity between textures. We have tested our approach for Brodatz texture database and evaluate the retrieval performance in terms of precision and recall. The experimental results show that the proposed method outperforms earlier wavelet-based methods.

Keywordsmultistated wavelet-based hidden Markov trees; Gaussian mixture model; Kullback–Leibler distance; image retrieval
ANZSRC Field of Research 2020469999. Other information and computing sciences not elsewhere classified
490302. Numerical analysis
460306. Image processing
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Byline AffiliationsFaculty of Business
National Brain Research Centre, India
Institution of OriginUniversity of Southern Queensland
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