Comment on: "Extended Hough transform for linear feature detection"

Authors:
Kuo-Liang Chung;Ting-Chin Chang;Yong-Huai Huang
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, No. 43, Section 4, Keelung Road, Taipei 10672, Taiwan, ROC;Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, No. 43, Section 4, Keelung Road, Taipei 10672, Taiwan, ROC;Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, No. 43, Section 4, Keelung Road, Taipei 10672, Taiwan, ROC
Venue:
Pattern Recognition
Year:
2009

Citing 2
Cited 1

Use of the Hough transformation to detect lines and curves in pictures

Communications of the ACM
Extended Hough transform for linear feature detection

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New orientation-based elimination approach for accurate line-detection

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Abstract

Recently Cha et al. presented an efficient extended Hough transform (EHT) method to detect lines, each line segment with desired length. Instead of performing the voting process twice for each edge pixel in the EHT method, this comment presents a simple modification such that each edge pixel in the edge map only needs to perform the voting processing once. This modification leads to 16% execution-time improvement ratio when compared to the EHT method, and it is very close to the theoretical execution-time improvement ratio, 14%.