Integrating Shape and Edge Histogram Descriptor with Stationary Wavelet Transform for Effective Content Based Image Retrieval

In this paper we propose a hybrid approach for Effective Content Based Image Retrieval based on texture and shape feature. Towards this, first Stationary Wavelet Transform (SWT) is applied on query image to extract horizontal, vertical and diagonal detail matrices. Stationary Wavelet Transform is used because of its translational invariant property. After this Edge Histogram Descriptor (EHD) is used to exploit the absolute location of edges in the image as well their global composition. To aid the retrieval process, five different shape measures have also been included. Finally Euclidean distance is used to retrieve the relevant results. Experimental results show that the combination of SWT and EHD techniques provides significant improvement over existing methods thereby increasing the retrieval efficiency.