Results 201 to 210 of about 10,393 (248)
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Variational Fuzzy Superpixel Segmentation
IEEE Transactions on Fuzzy Systems, 2022This paper presents a novel variational model based on fuzzy clustering and total variation regularization for superpixel segmentation. Compared with the classical hard-labeled methodologies, our approach gives soft results via the fuzzy membership function, and moreover, the use of total variation provides additional information that can enhance the ...
Tsz Ching Ng, Siu Kai Choy
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Differential Evolutionary Superpixel Segmentation
IEEE Transactions on Image Processing, 2018Superpixel segmentation has been of increasing importance in many computer vision applications recently. To handle the problem, most state-of-the-art algorithms either adopt a local color variance model or a local optimization algorithm. This paper develops a new approach, named differential evolutionary superpixels, which is able to optimize the ...
Yue-Jiao Gong, Yicong Zhou
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Content-Adaptive Superpixel Segmentation
IEEE Transactions on Image Processing, 2018Superpixel segmentation targets at grouping pixels in an image into atomic regions whose boundaries align well with the natural object boundaries. This paper first proposes a new feature representation for superpixel segmentation that holistically embraces color, contour, texture, and spatial features.
Xiaolin Xiao, Yicong Zhou, Yue-Jiao Gong
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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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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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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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Entropy rate superpixel segmentation
CVPR 2011, 2011We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term. The entropy rate favors formation of compact and homogeneous clusters, while the balancing function encourages clusters with similar sizes.
Ming-Yu Liu +3 more
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4D Light Field Superpixel and Segmentation
IEEE Transactions on Image Processing, 2020Superpixel segmentation of 2D images has been widely used in many computer vision tasks. Previous algorithms model the color, position, or higher spectral information for segmenting a 2D image. However, limited to the Gaussian imaging principle in a traditional camera, where each pixel is formed by summing lots of light rays from different angles ...
Hao Zhu +3 more
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