Texture Image Retrieval Using A Set of Dual-Tree Rotated Complex Wavelet Filter And Dual-Tree-Complex Wavelet Transform
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 6
Abstract
Most of the texture image retrieval systems are still incapable of providing retrieval result with high retrieval accuracy and less computational complexity. This is the limitation of conventional image retrieval system. To overcome this problem, we propose a new approach of extracting texture features for texture image retrieval by using a combined set of dual-tree rotated complex wavelet filter (DT-RCWF) and dual-tree-complex wavelet transform (DT-CWT) together, which obtains texture analysis in 12 different directions. A set of twodimensional (2-D) rotated complex wavelet filters (RCWFs) are designed with complex wavelet filter coefficients, which gives texture information strongly oriented in six different directions (450 apart from complex wavelet transform). The 2-D RCWFs are non-separable and oriented, which improves characterization of oriented textures. The information provided by DT-RCWF complements the information generated by DTCWT. Features are obtained by computing the energy and standard deviation on each subband of the decomposed image. To check the retrieval performance, texture database D of 500 texture images is created. Experimental results on database D consisting of 500 texture images are categorized into 5 different classes indicates that our method significantly improves retrieval performance by considering African, bus and dinosaur category examples is 81.25%, 87.50%, and 87.50% respectively by using DT-RCWF +DT-CWT, compared with from 25%, 25% and 25% of traditional approach of Gabor wavelet-based features, respectively. Experimental result also shows retrieval time for query image using proposed method is 0.08 second which is very less than that using Gabor wavelets based method having 0.146 second. The proposed method also retains comparable levels of computational complexity.
Authors and Affiliations
Sachin S. Mahulkar, Dr. Ajay P. Thakare, Ajaykumar K. Kakde
Keywords
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