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NETLines: Recovering line-networks via gradient-based line segments refinement | IEEE Conference Publication | IEEE Xplore

NETLines: Recovering line-networks via gradient-based line segments refinement

Publisher: IEEE

Abstract:

In this paper, we propose a novel line segment detector, named as NETLines, which can produce a set of accurate line segments and a set of node-connected line-networks fo...View more

Abstract:

In this paper, we propose a novel line segment detector, named as NETLines, which can produce a set of accurate line segments and a set of node-connected line-networks formed by connection of the line segments and the image boundary. Based on the line segments generated by other line segment detectors (e.g., EDLines [1]) on an edge map, the proposed algorithm efficiently makes use of the gradient map of the original image instead of its edge map to extend and refine the line segments. The line-networks are constructed with the extended and refined line segments and a set of nodes generated by connecting of the line segments. Furthermore, the line segments and line-networks are optimally supplemented and refined by linking and merging the line segments. Experimental results on a set of natural images illustrate the proposed NETLines produces more accurate and complete line segments compared with state-of-the-art line segments detectors.
Date of Conference: 08-10 August 2015
Date Added to IEEE Xplore: 01 October 2015
ISBN Information:
Publisher: IEEE
Conference Location: Lijiang, China

References

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