Rectangle Detection based on a Windowed Hough Transform

Authors:
Claudio Rosito Jung;Rodrigo Schramm
Affiliations:
UNISINOS - Universidade do Vale do Rio dos Sinos, Brasil;UNISINOS - Universidade do Vale do Rio dos Sinos, Brasil
Venue:
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
Year:
2004

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Abstract

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.