N. Gnaneswara Rao, V. Vijaya Kumar



The Content Based Image Retrieval (CBIR) has been an active research area. Given a collection of images it is to retrieve the images based on a query image, which is specified by content. The present method uses a new technique based on wavelet transformations by which a feature vector characterizing texture of the images is constructed. Our method derives 10 feature vectors for each image characterizing the texture of sub image from only three iterations of wavelet transforms. A clustering method ROCK is modified and used to cluster the group of images based on feature vectors of sub images of database by considering the minimum Euclidean distance. This modified ROCK is used to minimize searching process. Our experiments are conducted on a variety of garments images and successful matching results are obtained.


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Paper Citation

in Harvard Style

Gnaneswara Rao N. and Vijaya Kumar V. (2007). TEXTURE BASED IMAGE INDEXING AND RETRIEVAL . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007) ISBN 978-972-8865-75-7, pages 177-181. DOI: 10.5220/0002065801770181

in Bibtex Style

@conference{mathematical and linguistic techniques for image mining07,
author={N. Gnaneswara Rao and V. Vijaya Kumar},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007)},

in EndNote Style

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007)
SN - 978-972-8865-75-7
AU - Gnaneswara Rao N.
AU - Vijaya Kumar V.
PY - 2007
SP - 177
EP - 181
DO - 10.5220/0002065801770181