2022
DOI: 10.1109/lra.2022.3189791
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FASTDLO: Fast Deformable Linear Objects Instance Segmentation

Abstract: In this paper, an approach for fast and accurate segmentation of Deformable Linear Objects (DLOs) named FASTDLO is presented. A deep convolutional neural network is employed for background segmentation, generating a binary mask that isolates DLOs in the image. Thereafter, the obtained mask is processed with a skeletonization algorithm and the intersections between different DLOs are solved with a similarity-based network. Apart from the usual pixel-wise color-mapped image, FASTDLO also describes each DLO insta… Show more

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Cited by 30 publications
(47 citation statements)
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“…It achieves the instance segmentation of DLOs empowering a segmentation Deep Convolutional Neural Network (DCNN) [14] in its framework. Recently, FASTDLO [3] has been proposed improving the performances of Ariadne+ both in terms of speed and accuracy.…”
Section: A Segmentation Of Dlosmentioning
confidence: 99%
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“…It achieves the instance segmentation of DLOs empowering a segmentation Deep Convolutional Neural Network (DCNN) [14] in its framework. Recently, FASTDLO [3] has been proposed improving the performances of Ariadne+ both in terms of speed and accuracy.…”
Section: A Segmentation Of Dlosmentioning
confidence: 99%
“…For the manipulation of DLOs, the availability of a segmentation mask is fundamental [3]. Therefore, we focus on the impact given by w s and w r in semantic and instance segmentation tasks.…”
Section: Training On a Dataset Mixturementioning
confidence: 99%
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