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