DocumentCode :
285736
Title :
Sampling Hough algorithm for the detection of lines and curves
Author :
Ser, Pui Kin ; Siu, Wan-chi
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
Volume :
5
fYear :
1992
fDate :
10-13 May 1992
Firstpage :
2497
Abstract :
One of the main disadvantages of the Hough techniques is the requirement of heavy computation for the transform. To reduce the computation time, a simple sampling technique of the image pixels is suggested. The performance of this sampling Hough Transform is comparable to the standard Hough techniques but the computation time is significantly reduced. In the evaluation of the performance of this new sampling Hough technique, a number of real images have been studied. The present approach is capable of detecting lines and circles with any thickness, even for a line with one pixel width
Keywords :
Hough transforms; image recognition; circles; computation time; image pixels; lines; pixel width; sampling Hough Transform; Equations; Image edge detection; Image sampling; Nearest neighbor searches; Pixel; Sampling methods; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
Type :
conf
DOI :
10.1109/ISCAS.1992.230479
Filename :
230479
Link To Document :
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