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Conference papers
Thick Line Segment Detection with Fast Directional Tracking
Abstract : This paper introduces a fully discrete framework for a new straight line detector in gray-level images, where line segments are enriched with a thickness parameter intended to provide a quality criterion on the extracted feature. This study is based on a previous work on interactive line detection in gray-level images. At first, a better estimation of the segment thickness and orientation is achieved through two main improvements: adaptive directional scans and control of assigned thickness. Then, these advances are exploited for a complete unsupervised detection of all the line segments in an image. The new thick line detector is left available in an online demonstration.
Cited literature [18 references]
https://hal.archives-ouvertes.fr/hal-02189916
Contributor : Bertrand Kerautret <>
Submitted on : Tuesday, October 8, 2019 - 11:48:05 AM
Last modification on : Monday, December 28, 2020 - 2:23:01 PM
Contributor : Bertrand Kerautret <>
Submitted on : Tuesday, October 8, 2019 - 11:48:05 AM
Last modification on : Monday, December 28, 2020 - 2:23:01 PM
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EvenNgoKerautret19.pdf
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