Research Article
Texture Based Image Retrieval Using Correlation on Haar Wavelet Transform
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@INPROCEEDINGS{10.1007/978-3-642-35615-5_12, author={D. Verma and Sahil Narang and Bhawna Juneja}, title={Texture Based Image Retrieval Using Correlation on Haar Wavelet Transform}, proceedings={Third International conference on advances in communication, network and computing}, proceedings_a={CNC}, year={2012}, month={12}, keywords={CBIR Haar Wavelet Transform Correlation Fuzzy GLCM}, doi={10.1007/978-3-642-35615-5_12} }- D. Verma
Sahil Narang
Bhawna Juneja
Year: 2012
Texture Based Image Retrieval Using Correlation on Haar Wavelet Transform
CNC
Springer
DOI: 10.1007/978-3-642-35615-5_12
Abstract
Content Based Image Retrieval deals with the retrieval of most similar images corresponding to a query image from an image database. It involves feature extraction and similarity computation. This paper proposes a method named Correlation Texture Descriptor (CTD) which computes the correlation between the sub bands formed after applying Haar Discrete Wavelet Transform. Fuzzy Logic is used to compute the similarity of two feature vectors. Experiments determined that the proposed method, CTD, showed a significant improvement in retrieval performance when compared to other methods such as Weighted Standard Deviation (WSD), Gradient operation using Sobel operator and Gray Level Co-occurrence Matrix (GLCM).
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