eng URI http://hdl.handle.net/10795/3635 εικόνα σύνθεσης Nowadays a number of different three-dimensional (3D) systems compete in the field of capturing and delivering autostereoscopic (ASt) 3D content. Integral Imaging (InI) is a promising ASt technique that provides both horizontal and vertical parallax as well as high quality realistic 3D content. In this work we propose an InI preprocessing method for identification and accurate segmentation of the grid structure in Integral Images (InIms) generated using lens arrays (LAs) containing circular lenses. In the proposed method we utilize the gradient augmented circular hough transform to accurately detect circular regions in the acquired integral image (InIm). Subsequently by using a triangulation scheme followed by a statistical approach we accurately estimate the grid line structure of the utilized LA. This results in the accurate segmentation of the circular shaped elemental images (EIs) contained in the InIm, a process vital for the effectiveness of the InI methodology. We provide experimental results over artificial as well as optically acquired InIms to evaluate the accuracy of the method using objective metrics. 7 pp. LOMv1.0 creator LOMv1.0 publisher LOMv1.0 Scientific Coordinator LOMv1.0 Project Executing Organisation 2013-07 Digital Library of the Operational Programme "Education and Lifelong Learning" abstract types Text Charge coupled devices Image edge detection Image reconstruction Lenses Optical imaging Three-dimensional displays Transforms http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6622683&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6622683 2052531 application/pdf http://repository.edulll.gr/edulll/bitstream/10795/3635/2/3635_1.12_%ce%91%ce%9d_1_7_13.pdf URI http://hdl.handle.net/10795/3635 LOMv1.0creator 2016-06-14T12:43:23Z LOMv1.0validator 2016-06-14T12:43:23Z LOMv1.0 gre no no Copyright EYD-EPEDBM (Operational Programme "Education and Lifelong Learning")