DocumentCode :
3021024
Title :
Triangle detection based on windowed Hough Transform
Author :
He, Jiang-ping ; Ma, Yan
Author_Institution :
Dept. of Inf. Eng., Lanzhou Univ. of Finance & Econ., Lanzhou, China
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
95
Lastpage :
100
Abstract :
A new algorithm based on windowed Hough Transform is proposed for triangle detection. A sliding window scans the image pixel by pixel and the Hough Transform is computed in the small region. Peaks of the Hough image which correspond to the line segments are then extracted. A triangle is detected when the three lines satisfy the certain conditions. Experimental results show that the arbitrary triangle can be detected and retrieved efficiently.
Keywords :
Hough transforms; feature extraction; object detection; image pixel; line segment extraction; object detection; sliding window; triangle detection; windowed Hough transform; Equations; Image edge detection; Image retrieval; Object detection; Pattern analysis; Pattern recognition; Pixel; Shape; Wavelet analysis; Wavelet transforms; Image retrieval; Object detection; Triangle; Windowed Hough Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3728-3
Electronic_ISBN :
978-1-4244-3729-0
Type :
conf
DOI :
10.1109/ICWAPR.2009.5207484
Filename :
5207484
Link To Document :
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