DocumentCode :
2287638
Title :
Novel 2-D Hough planes for the detection of ellipses
Author :
Ser, Pui-Kin ; Siu, Wan-chi
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
fYear :
1994
fDate :
13-16 Apr 1994
Firstpage :
527
Abstract :
A new approach of the Hough transform for the detection of ellipses is presented in this paper. In our algorithm, the search of a 5-D Hough domain is replaced with four 2-D Hough planes. One of the main differences between our proposed transform and other techniques is the approach to extract feature points in an image for the recognition. For the accumulation process in the Hough domain, an inherent property of our suggested algorithm is its capability to effect verification. Hence, significant improvement on the performance of the recognition is achieved. Furthermore, our proposed algorithm is applicable for the detection of both circular and elliptical objects concurrently
Keywords :
Hough transforms; computational geometry; edge detection; feature extraction; 2D Hough planes; Hough domain; Hough transform; circular objects; ellipse detection; elliptical objects; feature point extraction; Degradation; Equations; Feature extraction; Image edge detection; Image recognition; Object detection; Pattern analysis; Pixel; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
Type :
conf
DOI :
10.1109/SIPNN.1994.344858
Filename :
344858
Link To Document :
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