TY - GEN
T1 - Segmentation of rectangular objects lying on an unknown background in a small preview scan image
AU - Guerzhoy, Michael
AU - Hui, Zhou
PY - 2008
Y1 - 2008
N2 - We describe a method to segment rectangular objects that lie on a slightly textured background of an a-priori unknown colour. Our contribution consists of a fast and accurate background colour approximation method, a set of heuristics for accurate detection of rectangle sides, and procedures to generate imprecise hypotheses of rectangles, adjust hypotheses to fit the rectangles in the image, and verify or reject the hypotheses. Our algorithm is capable of detecting overlapping and touching objects such as photos, receipts, and business cards on a very small-sized preview scan image (79 by 109 pixels) on a coloured/textured background
AB - We describe a method to segment rectangular objects that lie on a slightly textured background of an a-priori unknown colour. Our contribution consists of a fast and accurate background colour approximation method, a set of heuristics for accurate detection of rectangle sides, and procedures to generate imprecise hypotheses of rectangles, adjust hypotheses to fit the rectangles in the image, and verify or reject the hypotheses. Our algorithm is capable of detecting overlapping and touching objects such as photos, receipts, and business cards on a very small-sized preview scan image (79 by 109 pixels) on a coloured/textured background
UR - http://www.scopus.com/inward/record.url?scp=52049114671&partnerID=8YFLogxK
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U2 - 10.1109/CRV.2008.31
DO - 10.1109/CRV.2008.31
M3 - Conference contribution
AN - SCOPUS:52049114671
SN - 9780769531533
T3 - Proceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008
SP - 369
EP - 375
BT - Proceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008
T2 - 5th Canadian Conference on Computer and Robot Vision, CRV 2008
Y2 - 28 May 2008 through 30 May 2008
ER -