A super resolution algorithm to improve the hough transform

Authors:
Chunling Tu;Barend Jacobus van Wyk;Karim Djouani;Yskandar Hamam;Shengzhi Du
Affiliations:
French South Africa Technical Institute, Tshwane University of Technology, Pretoria, South Africa;French South Africa Technical Institute, Tshwane University of Technology, Pretoria, South Africa;French South Africa Technical Institute, Tshwane University of Technology, Pretoria, South Africa;French South Africa Technical Institute, Tshwane University of Technology, Pretoria, South Africa;Department of Electrical and Mining Engineering, University of South Africa, Pretoria, South Africa
Venue:
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Year:
2011

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Abstract

This paper introduces a Super Resolution Hough Transform (SRHT) scheme to address the vote spreading, peak splitting and resolution limitation problems associated with the Hough Transform (HT). The theory underlying the generation of multiple HT data frames and the registration of cells obtained from multiple frames are discussed. Experiments show that the SRHT avoids peak splitting and successfully alleviates vote spreading and resolution limitations.