Medical Image Retrieval Using Rotated Complex Wavelet Filters with Haralick Texture Features

In this paper, a set of two-dimensional (2-D) rotated complex wavelet filters (RCWFs) are designed with coefficients complex wavelet filter, which gives texture information strongly oriented in six different directions. The 2-D RCWFs are non-separable and improve characterization of oriented textures. Most of the texture image retrieval systems are struggle providing retrieval result with high retrieval accuracy and less computational complexity of retrieval. To address this problem, we propose an approach for texture image retrieval by using a set of dual-tree rotated complex wavelet filter (DT-RCWF) and dual-tree-complex wavelet transform (DT-CWT) jointly by using Haralick Texture Features are obtains in 12 different directions. In decomposed image the features are obtained on each subband. Our proposed method results improves retrieval rate (85%) when comparing with other existing methods and traditional discrete wavelet transform based approaches.