DocumentCode :
2702760
Title :
Probabilistic Convergent Hough Transform
Author :
Zhu, Lei ; Chen, Zhaoqi
Author_Institution :
Key Lab. of Embedded Syst. & Service Comput., Tongji Univ., Shanghai
fYear :
2008
fDate :
20-23 June 2008
Firstpage :
1661
Lastpage :
1666
Abstract :
To reduce the computational complexity, a novel method of standard Hough transform (SHT), named probabilistic convergent Hough transform (PCHT), is proposed in this paper. PCHT avoids unnecessary cost of SHT in computation by intermittently detecting several points of a line through fast convergence and in memory by using a one-dimensional accumulator. Considering the inevitable error initiated by PCHT, Sensitivity of detection method is introduced to limit the error rate of detecting a fake line within the tolerable range. Experiment is done in various circumstances. Results and comparison between several line detections and PCHT are shown next, and further discussion is given in the final.
Keywords :
Hough transforms; computational complexity; convergence; edge detection; 1D accumulator; computational complexity; fake line detection; probabilistic convergent Hough transform; Automation; Computational complexity; Computational efficiency; Convergence; Costs; Embedded computing; Embedded system; Equations; Error analysis; Laboratories; Hough Transform; convergent; line detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
Type :
conf
DOI :
10.1109/ICINFA.2008.4608271
Filename :
4608271
Link To Document :
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