A windowing approach to detecting line segments using Hough transform

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摘要

A new approach for using the Hough transform to detect line segments is presented. This approach is efficient in both space and time. Strategies combining the features of the intersection point [Ben-Tzvi, Leavers and Sandler, Proc. 5th Intl. Conf. Image Anal. 152–159 1990); Xu, Oja and Kultannen, Pattern Recognition Lett. 11, 331–338 (1990)] and dual plane [Conker, Comput. Vis. Graphics Image Process. 43, 115–132 (1988)] methods are used to calculate the Hough transform. A dense set of small overlapping windows are used to restrict the pairs of inage pixels that are evaluated. Experimental results indicate that this method reduces the time and space requirements significantly.

论文关键词:Feature detection,Hough Transform,Parallel image processing,Algorithm analysis

论文评审过程:Received 13 September 1994, Revised 16 May 1995, Accepted 2 June 1995, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/0031-3203(95)00083-6