ENHANCING IMAGE RETRIEVAL EFFICIENCY WITH SPATIAL DEPENDENCE MATRIX AND TRANSLATION INVARIANT DISCRETE WAVELET TRANSFORM
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Abstract
The present study describes the implementation of a highly effective content-based image retrieval (CBIR) system. This system utilizes an integrated approach for feature extraction, incorporating the use of a spatial dependence matrix (SDM) to extract texture features from the provided images. Additionally, a translation invariant discrete wavelet transform (TIDWT) is employed for low-level feature extraction. Moreover, the effectiveness of the proposed hybrid Content-Based Image Retrieval (CBIR) system was evaluated using the Tanimoto distance. The results of a comprehensive experimental investigation reveal that the suggested hybrid Content-Based Image Retrieval (CBIR) system exhibits a significant enhancement in efficiency when compared to standard CBIR systems.
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