eng URI http://hdl.handle.net/10795/3637 εικόνα σύνθεσης In most integral image analysis and processing tasks, accurate knowledge of the internal image structure is required. In this paper we present a robust framework for the accurate rectification of perspectively distorted integral images based on multiple line segment detection. The use of multiple line segments increases the overall fault tolerance of our framework providing strong statistical support for the rectification process. The proposed framework is used for the automatic rectification, metric correction, and rotation of distorted integral images. The performance of our framework is assessed over a number of integral images with varying scene complexity and noise levels. 13 pp. LOMv1.0 creator LOMv1.0 publisher LOMv1.0 Scientific Coordinator LOMv1.0 Project Executing Organisation 2011-12-05 Digital Library of the Operational Programme "Education and Lifelong Learning" abstract types Text Integral image Segment detection Automatic rectification Framework https://www.osapublishing.org/ao/abstract.cfm?uri=ao-50-34-h265 1089339 application/pdf http://repository.edulll.gr/edulll/bitstream/10795/3637/2/3637_1.12_%ce%94%ce%97%ce%9c_2_12_11.pdf URI http://hdl.handle.net/10795/3637 LOMv1.0creator 2016-06-14T13:02:07Z LOMv1.0validator 2016-06-14T13:02:07Z LOMv1.0 gre no no Copyright EYD-EPEDBM (Operational Programme "Education and Lifelong Learning")