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Sparse‐sensing and superpixel‐based segmentation model for concrete cracks
Comput. Aided Civ. Infrastructure Eng., 2022Efficient image‐recognition algorithms to classify the pixels accurately are required for the computer‐vision‐based inspection of concrete defects. This study proposes a deep learning‐based model called sparse‐sensing and superpixel‐based segmentation ...
Xiongyao Xie +6 more
semanticscholar +1 more source
A Multiscale Superpixel-level Group Clustering Framework for Hyperspectral Band Selection
IEEE Transactions on Geoscience and Remote Sensing, 2022Hyperspectral imagery (HSI) contains hundreds of bands, which provides a wealth of spectral information and enables better characterization of features.
S. Jia +6 more
semanticscholar +1 more source
Signal, Image and Video Processing, 2013
Superpixels provide an over-segmentation representation of a natural image. However, they lack information of the entire object. In this paper, we propose a method to obtain superpixels through a merging strategy based on the bottom-up saliency values of superpixels.
Linfeng Xu +2 more
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Superpixels provide an over-segmentation representation of a natural image. However, they lack information of the entire object. In this paper, we propose a method to obtain superpixels through a merging strategy based on the bottom-up saliency values of superpixels.
Linfeng Xu +2 more
openaire +1 more source
Weighted superpixel segmentation
The Visual Computer, 2019Image boundaries and regularity are two important factors in superpixel segmentation. Balancing the influence of image boundaries and regularity is key to producing superpixels. In this paper, we present a novel superpixel segmentation algorithm, called weighted superpixel segmentation (WSS), which is capable of generating superpixels with high ...
Xin Qian, Xuemei Li, Caiming Zhang
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Superpixel-Based Spatiotemporal Saliency Detection
IEEE Transactions on Circuits and Systems for Video Technology, 2014This paper proposes a superpixel-based spatiotemporal saliency model for saliency detection in videos. Based on the superpixel representation of video frames, motion histograms and color histograms are extracted at superpixel level as local features and frame level as global features.
Liu, Zhi +3 more
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Spherical Superpixel Segmentation
IEEE Transactions on Multimedia, 2018These days, superpixel algorithms are widely used in computer vision and multimedia applications. However, existing algorithms are designed for planar images, which are less suited to deal with wide angle images. In this paper, we present a superpixel segmentation method for $\text{360}^\circ$ spherical images.
Qiang Zhao +5 more
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2013
We propose and evaluate a versatile scheme for image pre-segmentation that generates a partition of the image into a selectable number of patches 'superpixels', under the constraint of obtaining maximum homogeneity of the 'texture' inside of each patch, and maximum accordance of the contours with both the image content as well as a Gibbs-Markov random ...
Christian Conrad +2 more
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We propose and evaluate a versatile scheme for image pre-segmentation that generates a partition of the image into a selectable number of patches 'superpixels', under the constraint of obtaining maximum homogeneity of the 'texture' inside of each patch, and maximum accordance of the contours with both the image content as well as a Gibbs-Markov random ...
Christian Conrad +2 more
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Benchmarking superpixel descriptors
2015 23rd European Signal Processing Conference (EUSIPCO), 2015Superpixels are useful intermediate representations for many computer vision tasks. While the segmentation step is well studied, the subsequent creation of meaningful descriptors lacks this foundation. Superpixels have similar properties like affine covariant regions (keypoints), but there are fundamental differences that led to a different set of ...
Peer Neubert, Peter Protzel
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One-pass clustering superpixels
7th International Conference on Information and Automation for Sustainability, 2014A superpixel is an image patch which is better aligned with intensity edges than a rectangular patch. Superpixels are perceptually consistent units which carry more information than pixels and adhere well to image boundaries. Nowadays superpixels are widely used for segmentation in computer vision and biomedicai applications.
Yogarajah Kesavan, Amirthalingam Ramanan
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