Results 181 to 190 of about 471,167 (221)
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Spherical superpixel segmentation
2016 IEEE International Conference on Multimedia and Expo (ICME), 2016In this paper, we present a superpixel generation method for spherical images, which cover 360° field-of-view. Unlike previous works that directly use existing superpixel algorithms on unrolled spherical images, our approach explicitly considers the geometry for spherical images and uses sphere as the underlying representation.
Qiang Zhao, Liang Wan, Jiawan Zhang
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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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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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Revisiting SLIC: Fast Superpixel Segmentation of Marine SAR Images Using Density Features
IEEE Transactions on Geoscience and Remote Sensing, 2022The simple linear iterative clustering (SLIC) has been shown as an efficient and widely used superpixel-based algorithm for segmenting marine synthetic aperture radar (SAR) images.
Xueqian Wang, Gang Li, A. Plaza, You He
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Superpixel Convolution for Segmentation
2018 25th IEEE International Conference on Image Processing (ICIP), 2018In this paper, we propose a novel segmentation algorithm based on convolutional neural networks (CNNs) on superpix-else CNNs are powerful methods for several computer vision tasks, but spatial information disappears through the pooling process.
Teppei Suzuki +3 more
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IEEE Transactions on Evolutionary Computation
Feature selection (FS) is a very important technique for hyperspectral image (HSI) classification, as successfully selecting informative features can significantly increase the learning performance while reducing the computational cost.
Lingjie Li +5 more
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Feature selection (FS) is a very important technique for hyperspectral image (HSI) classification, as successfully selecting informative features can significantly increase the learning performance while reducing the computational cost.
Lingjie Li +5 more
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Fast Graph Algorithms for Superpixel Segmentation
IEEE Conference on High Performance Extreme Computing, 2022We introduce the novel graph-based algorithm SLAM (simultaneous local assortative mixing) for fast and high-quality superpixel segmentation of any large color image.
D. Floros +3 more
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Dynamic Random Walk for Superpixel Segmentation
IEEE Transactions on Image Processing, 2020In this paper, we propose a novel random walk model, called Dynamic Random Walk (DRW), which adds a new type of dynamic node to the original RW model and reduces redundant calculation by limiting the walk range. To solve the seed-lacking problem of the proposed DRW, we redefine the energy function of the original RW and use the first arrival ...
Xuejing Kang, Lei Zhu, Anlong Ming
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A Comprehensive Review and New Taxonomy on Superpixel Segmentation
ACM Computing SurveysSuperpixel segmentation consists of partitioning images into regions composed of similar and connected pixels. Its methods have been widely used in many computer vision applications, since it allows for reducing the workload, removing redundant ...
Isabela Borlido Barcelos +5 more
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Improving color homogeneity measure in superpixel segmentation assessment
SIBGRAPI Conference on Graphics, Patterns and Images, 2022The quality of a superpixel segmentation may consider accuracy in delineation, shape compactness, and color homogeneity. Among several existing measures, Explained Variation (EV) and Intra-cluster Variation (IV) seem to be the only ones focusing on color
Isabela Borlido Barcelos +4 more
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