DocumentCode :
3262893
Title :
The Hough transform and the UpWrite: a comparison
Author :
McLaughlin, Robert A. ; Alder, Michael D.
Author_Institution :
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
Volume :
1
fYear :
1995
fDate :
Nov/Dec 1995
Firstpage :
146
Abstract :
Compares two methods of pattern recognition, a standard technique known as The Hough transform and a more recent development. The UpWrite, which may be interpreted as a modified version of a quadratic neural network. The authors restrict themselves to the problem of recognising ellipses in binary images. The two techniques are compared experimentally and the authors draw conclusions from the results
Keywords :
Hough transforms; covariance matrices; image recognition; neural nets; Hough transform; UpWrite; binary images; ellipses recognition; pattern recognition; quadratic neural network; Covariance matrix; Image recognition; Information processing; Intelligent networks; Intelligent systems; Neural networks; Pattern recognition; Pixel; Shape; Standards development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
Type :
conf
DOI :
10.1109/ICNN.1995.488083
Filename :
488083
Link To Document :
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