Abstract
The developments in the field of internet allow users in almost all the professional areas for exploiting the opportunities offered by the ability to access and manipulate remotely-stored images. The large multimedia database has to be processed within a small fraction of seconds for many of the real time applications. This demand of using the technique of content based image retrieval (CBIR) as a scheme for searching large database for image retrieval has addressed some of the issues that need to be solved for having an efficient system. The paper focuses on the issues of image retrieval and also suggests a method to get an accurate result by using a hybrid search methodology. The paper works in two phases- in the first phase it works with genetic algorithm to get a local optimal result and in the second phase, it works with neural network to get a global optimal result.
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Nimi, P.U., Tripti, C. (2011). Feature Based Image Retrieval Algorithm. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22726-4_6
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DOI: https://doi.org/10.1007/978-3-642-22726-4_6
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