Small Camera Movements as a Means of Reducing the Amount of Broken and False Detected Lines in Hough Transform

doi:10.1006/rtim.1996.0018

Real-Time Imaging

Volume 2, Issue 3, June 1996, Pages 181-185

https://doi.org/10.1006/rtim.1996.0018 Get rights and content

Abstract

This letter shows how one of the most unwanted problems of Hough transforms for straight line detection, namely the breaking and replication of lines, can be easily overcome by introducing small camera movements. The reported technique is particularly suitable for application in systems capable of on-line, real-time Hough transform processing. Experimental results are presented that substantiate the effectiveness of the proposed approach.

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Image Analysis and Computer Vision: 1996
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This paper presents a bibliography of nearly 2150 references related to computer vision and image analysis, arranged by subject matter. The topics covered include computational techniques; feature detection and segmentation; image and scene analysis; two-dimensional shape; pattern; color and texture; matching and stereo; three-dimensional recovery and analysis; three-dimensional shape; and motion. A few references are also given on related topics, including geometry and graphics, compression and processing, sensors and optics, visual perception, neural networks, artificial intelligence and pattern recognition, as well as on applications.

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Regular PaperSmall Camera Movements as a Means of Reducing the Amount of Broken and False Detected Lines in Hough Transform

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Regular Paper
Small Camera Movements as a Means of Reducing the Amount of Broken and False Detected Lines in Hough Transform