A Novel Image Retrieval Technique using Automatic and
Interactive Segmentation
Asjad Amin and Muhammad
Qureshi
Department of Telecommunication Engineering, The Islamia
University of Bahawalpur, Pakistan
Abstract: In this paper, we present a new region-based image
retrieval technique based on robust image segmentation. Traditional
content-based image retrieval deals with the global description of a query
image. We combine the state-of-the-art segmentation algorithms with the
traditional approach to narrow the area of interest to a specific region within
a query image. In case of automatic segmentation, the algorithm divides a query
image automatically and computes Zernike moments for each region. For
interactive segmentation, our proposed scheme takes as input a query image and
some information regarding the region of interest. The proposed scheme then
works by computing the Geodesic-based segmentation of the query image. The
segmented image is our region of interest which is then used for computing the
Zernike moments. The Euclidean distance is then used to retrieve different
relevant images. The experimental results clearly show that the proposed scheme
works efficiently and produces excellent results.
Keywords: CBIR, information retrieval, image
segmentation, multimedia image retrieval.