Content Based Image Retrieval based on Dual Tree Discrete Wavelet Transform
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 7
Abstract
Today in various fields like space research, medicine, cartography and oncology large number of images are available. Searching a relevant image from these database is becoming a tedious process. Content Based Image Retrieval is used to make the searching process easier and to obtain relevant images. This paper proposes a new feature vector based on 2D Dual-tree Discrete Wavelet Transform (2D DT DWT). First all the images in the database are converted to YCbCr color space. The 2D DT DWT is applied to each color component. Features such as mean, energy, entropy and standard deviation are calculated for decomposed sub bands of all the images in the database. The features of the query image are compared with the feature vector database using Euclidean distance and the relevant images are retrieved. The database used is Wang database.
Authors and Affiliations
R. Ahila Priyadharshini , S. Arivazhagan , T. Shindhu , C. Mahalakshmi
Keywords
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