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.

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[25] Zhang D. and Lu G., “A Comparative Study of Curvature Scale Space and Fourier Descriptors for Shape Based Image Retrieval,” Journal of Visual Communication and Image Representation, vol. 14, no. 1, pp. 39-57, 2003. Asjad Amin received the B.S. degree in telecommunication engineering from NU-FAST, Islamabad, Pakistan, M.S. degree in electrical engineering from University of Engineering & Technology, Taxila, Pakistan and Ph.D. in electrical engineering from King Fahd University of Petroleum & Minerals, Saudi Arabia in 2017. Since 2008, he is with the department of telecommunication engineering at The Islamia University of Bahawalpur, currently serving as Assistant Professor. His research interests include image and video processing, seismic imaging and modeling, machine learning, and image segmentation. Muhammad Qureshi is currently working as Assistant Professor in Telecommunication Engineering Department, University College of Engineering & Technology, The Islamia University of Bahawalpur. He received his B.Sc. degree in electrical engineering from UET Lahore in 2000 and M.Sc. in telecommunication engineering from NWFP- UET Peshawar in 2008. He completed his Ph.D. in Electrical Engineering from KFUPM, Saudi Arabia in 2017 His research interests include image & video processing, image compression, image forensics, and image quality assessment. He has published 18 refereed international journals and conference papers. Muhammad Ali Qureshi is a senior member of IEEE and reviewer of many renowned international journals with good impact factors in the related discipline.