DocumentCode :
1859651
Title :
Straight-Line Intersection Point Detection Based on Curve Fitting of Hough Parameter Space
Author :
Chen, Linqiang ; Wang, Lei ; Xiong, Jun
Author_Institution :
Inst. of Graphics & Image, Hangzhou Dianzi Univ., Hangzhou, China
fYear :
2010
fDate :
22-24 Jan. 2010
Firstpage :
350
Lastpage :
353
Abstract :
Straight-line intersection point detection plays an important role in machine vision and video analysis. For the actual problem including multi-line point, implicit point, local feature point rapid detection, the paper gives a Straight-line intersection detection method based on the Hough parameter space curve fitting. This method use the duality principle of Hough line detection, least squares sine curve fitting of the extreme points in Hough space, Reverse straight-line intersection point in X-Y coordinate system. The paper gives specific method of least squares sine curve fitting and extreme points choosing. Simulation result shows that the method has good and stable performance.
Keywords :
Hough transforms; computer vision; curve fitting; feature extraction; least squares approximations; Hough line detection; Hough parameter space curve fitting; X-Y coordinate system; duality principle; implicit point; least squares sine curve fitting; local feature point rapid detection; machine vision; multiline point; reverse straight-line intersection point detection; video analysis; Computer vision; Curve fitting; Electronic learning; Equations; Graphics; Image analysis; Least squares methods; Machine vision; Solids; Transforms; eak detection; east squares; intersection point detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Education, e-Business, e-Management, and e-Learning, 2010. IC4E '10. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-5680-2
Electronic_ISBN :
978-1-4244-5681-9
Type :
conf
DOI :
10.1109/IC4E.2010.65
Filename :
5432462
Link To Document :
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