Results 211 to 220 of about 10,393 (248)
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Superpixel segmentation: A benchmark
Signal Processing: Image Communication, 2017Abstract Various superpixel approaches have been published recently. These algorithms are assessed using different evaluation metrics and datasets resulting in discrepancy in algorithm comparison. This calls for a benchmark to compare the state-of-the-arts methods and evaluate their pros and cons.
Murong Wang +4 more
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Minimum barrier superpixel segmentation
Image and Vision Computing, 2018Abstract Superpixel has become an essential processing unit in many computer vision systems, and superpixel segmentation of images is one of the most important step. In this paper, an efficient superpixel segmentation algorithm was proposed. We introduce a new compact-aware minimum barrier distance for superpixel segmentation (MBS), and a propagation
Yinlin Hu +4 more
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Lazy Random Walks for Superpixel Segmentation
IEEE Transactions on Image Processing, 2014We present a novel image superpixel segmentation approach using the proposed lazy random walk (LRW) algorithm in this paper. Our method begins with initializing the seed positions and runs the LRW algorithm on the input image to obtain the probabilities of each pixel.
Jianbing, Shen +3 more
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Superpixel Segmentation via Density Peaks
2021 4th International Conference on Information and Computer Technologies (ICICT), 2021Superpixel segmentation, a preprocessing component, is widely used in computer vision tasks. Superpixel algorithm is supposed to generate superpixels with required boundary adherence, compactness as well as less computational complexity. However, most of the existing superpixel algorithms do not perform satisfactorily when it comes to compactness and ...
Sayed Asad Hussain Shah +3 more
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Bayesian Adaptive Superpixel Segmentation
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019Superpixels provide a useful intermediate image representation. Existing superpixel methods, however, suffer from at least some of the following drawbacks: 1) topology is handled heuristically; 2) the number of superpixels is either predeļ¬ned or estimated at a prohibitive cost; 3) lack of adaptiveness.
Roy Uziel, Meitar Ronen, Oren Freifeld
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Hierarchical Superpixel Segmentation by Parallel CRTrees Labeling
IEEE Transactions on Image Processing, 2022This paper proposes a hierarchical superpixel segmentation by representing an image as a hierarchy of 1-nearest neighbor (1-NN) graphs with pixels/superpixels denoting the graph vertices. The 1-NN graphs are built from the pixel/superpixel adjacent matrices to ensure connectivity.
Tingman Yan, Xiaolin Huang, Qunfei Zhao
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Multifocus image fusion using superpixel segmentation and superpixel-based mean filtering
Applied Optics, 2016To achieve better performance in multifocus image fusion problems, a new regional approach based on superpixels and superpixel-based mean filtering is proposed in this paper. First, a fast and effective segmentation method is adopted to generate the superpixels over a clarity-enhanced average image.
Junwei, Duan +2 more
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Adaptive high-precision superpixel segmentation
Multimedia Tools and Applications, 2018Superpixel as a fundamental processing unit can significantly reduce the computational complexity of subsequent computer vision tasks. In this paper, an Adaptive High-Precision (AHP) superpixel segmentation algorithm is proposed. Three major schemes are proposed in this algorithm.
Xinlin Xie +3 more
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SymmSLIC: Symmetry Aware Superpixel Segmentation
2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017Over-segmentation of an image into superpixels has become an useful tool for solving various problems in computer vision. Reflection symmetry is quite prevalent in both natural and man-made objects. Existing algorithms for estimating superpixels do not preserve the reflection symmetry of an object which leads to different sizes and shapes of ...
Rajendra Nagar, Shanmuganathan Raman
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Image Segmentation by Bilayer Superpixel Grouping
2013 2nd IAPR Asian Conference on Pattern Recognition, 2013The task of image segmentation is to group image pixels into visually meaningful objects. It has long been a challenging problem in computer vision and image processing. In this paper we address the segmentation as a super pixel grouping problem. We propose a novel graph-based segmentation framework which is able to integrate different cues from ...
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