Abstract
A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query image. Content based image retrieval method is used as diagnosis aid in medical fields. In this paper content based image retrieval is used for medical applications. The main objective of this paper is to evaluate the retrieval system using Textural features. The texture features are extracted by using wavelet transform. The method is evaluated on Diabetic Retinopathy Database (DRD). Here the precision rate obtained is about 60% for DRD images.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Quellec, G., Lamard, M., Cazuguel, G., Cochener, B.: Adaptive Non- Separable Wavelet Transform via Lifting and its Application to Content-Based ImageRetrieval. IEEE Transactions on Image Processing 19(1), 25–35 (2010)
Yousif, A.A.A., Darwish, A.A., Mohammad, R.A.: Content based medical image retrieval based on pyramid structure wavelet. IJCSNS International Journal of Computer Science and Network Security 3 (March 2010)
Lamard, M., Cazuguel, G., Quellec, G., Bekri, L., Roux, C., Cochener, B.: Content based image retrieval based on wavelet transform coefficients distribution. In: Proc. of the 29th annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society (August 2007)
Antani, S., Lee, D.J., Long, L.R., Thoma, G.R.: Evaluation of shape similarity measurement methods for spine X-ray images. J. Vis.Commun. Image R 15(3), 285–302 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xavier, L., Bella Mary, I.T. (2011). Evaluation of Retrieval System Using Textural Features Based on Wavelet Transform. In: Das, V.V., Thomas, G., Lumban Gaol, F. (eds) Information Technology and Mobile Communication. AIM 2011. Communications in Computer and Information Science, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20573-6_87
Download citation
DOI: https://doi.org/10.1007/978-3-642-20573-6_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20572-9
Online ISBN: 978-3-642-20573-6
eBook Packages: Computer ScienceComputer Science (R0)