Results 201 to 210 of about 16,201 (241)
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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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International Conference on Cryptography, Security and Privacy
This work provides a novel method of image analysis that combines color characteristics with Modified Fuzzy C-Means (MFCM) clustering by means of superpixels based segmentation and classification.
A. Akilandeswari +5 more
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This work provides a novel method of image analysis that combines color characteristics with Modified Fuzzy C-Means (MFCM) clustering by means of superpixels based segmentation and classification.
A. Akilandeswari +5 more
semanticscholar +1 more source
Vine Spread for Superpixel Segmentation
IEEE Transactions on Image Processing, 2023Superpixel is the over-segmentation region of an image, whose basic units "pixels" have similar properties. Although many popular seeds-based algorithms have been proposed to improve the segmentation quality of superpixels, they still suffer from the seeds initialization problem and the pixel assignment problem.
Pei Zhou, Xuejing Kang, Anlong Ming
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Learning Superpixels with Segmentation-Aware Affinity Loss
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018Superpixel segmentation has been widely used in many computer vision tasks. Existing superpixel algorithms are mainly based on hand-crafted features, which often fail to preserve weak object boundaries.
Wei-Chih Tu +6 more
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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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Watershed-Based Superpixels With Global and Local Boundary Marching
IEEE Transactions on Image Processing, 2020Superpixels are widely used in computer vision applications, as they conserve the running costs of subsequent processing while preserving the original performance.
Ye Yuan, Zhiliang Zhu, Hai Yu, W. Zhang
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Convex and Compact Superpixels by Edge- Constrained Centroidal Power Diagram
IEEE Transactions on Image Processing, 2020Superpixel segmentation, as a central image processing task, has many applications in computer vision and computer graphics. Boundary alignment and shape compactness are leading indicators to evaluate a superpixel segmentation algorithm.
Dongyang Ma +3 more
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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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Superpixel Endmember Detection
IEEE Transactions on Geoscience and Remote Sensing, 2010Superpixels are homogeneous image regions comprised of multiple contiguous pixels. Superpixel representations can reduce noise in hyperspectral images by exploiting the spatial contiguity of scene features. This paper combines superpixels with endmember extraction to produce concise mineralogical summaries that assist in browsing large image catalogs ...
David R. Thompson +3 more
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