%0 Conference Proceedings
%4 sid.inpe.br/banon/2004/08.03.17.14
%2 sid.inpe.br/banon/2004/08.03.17.14.36
%@doi 10.1109/SIBGRA.2004.1352951
%T Rectangle Detection based on a Windowed Hough Transform
%D 2004
%A Jung, Cláudio Rosito,
%A Schramm, Rodrigo,
%@affiliation UNISINOS - Universidade do Vale do Rio dos Sinos - Ciências Exatas e Tecnológicas
%E Araújo, Arnaldo de Albuquerque,
%E Comba, João Luiz Dihl,
%E Navazo, Isabel,
%E Sousa, Antônio Augusto de,
%B Brazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
%C Curitiba, PR, Brazil
%8 17-20 Oct. 2004
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K rectangle detection, windowed Hough Transform.
%X The problem of detecting rectangular structures in images arises in many applications, from building extraction in aerial images to particle detection in cryo-electron microscopy. This paper proposes a new technique for rectangle detection using a windowed Hough Transform. Every pixel of the image is scanned, and a sliding window is used to compute the Hough Transform of small regions of the image. Peaks of the Hough image (which correspond to line segments) are then extracted, and a rectangle is detected when four extracted peaks satisfy certain geometric conditions. Experimental results indicate that the proposed technique produced promising results for both synthetic and natural images.
%@language en
%3 1.pdf