Title :
The Mahalanobis distance Hough transform with extended Kalman filter refinement
Author :
Xu, Chengping ; Velastin, Sergio A.
Author_Institution :
Dept. of Electron. & Electr. Eng., King´´s Coll., London, UK
fDate :
30 May-2 Jun 1994
Abstract :
This paper presents a new Hough function based on a Mahalanobis distance measure that incorporates a formal stochastic model for measurement and model noise. Thus, the effects of image and parameter space quantisation can be incorporated directly. An extended Kalman filtering process is proposed combined with this flexible model for feature refinement, which is particularly applicable when using coarse parameter resolutions. For a given resolution, the method provides better performance than the SHT
Keywords :
Hough transforms; Kalman filters; filtering theory; image processing; Hough function; Mahalanobis distance Hough transform; extended Kalman filter refinement; feature refinement; formal stochastic model; image quantisation; parameter space quantisation; Covariance matrix; Educational institutions; Electric variables measurement; Extraterrestrial measurements; Image resolution; Noise measurement; Optical noise; Stochastic resonance; Testing; Voting;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.409087
