Image Characterization Based Adaptive Wavelet Transform in Image Retrieval
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 12
Abstract
The paper presents the image retrieval based on adaptive wavelet transform. Improving the retrieval efficiency in the image database set using discrete wavelet transform and different distance calculation. The adaptive wavelet transform is better retrieval performance, less computation time and less complexity compared to existing methods i.e., Gabor wavelet. The proposed method is computing the image characterization for every possible separable or non separable adaptive wavelet filter. Second step is to characterize the distribution of the detail coefficients at any analysis scale using multi feature such as kurtosis and standard deviation. Then the distance between query feature and database features in image database is calculated. The comparison of the experimental results show that the adaptive wavelet transform in CBIR has better retrieval efficiency and less computation time.
Authors and Affiliations
Sunil Kumar. K, Rajesh Setty. D
Keywords
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