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One-pass clustering superpixels

7th International Conference on Information and Automation for Sustainability, 2014
A 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
openaire   +1 more source

Superpixel Rise

SSRN Electronic Journal, 2022
YONGWEI YI, Hanshan Qing, Yingying Liu
openaire   +1 more source

Stereo matching with superpixels

SPIE Proceedings, 2012
The purpose of a short-baseline stereo matching algorithm is calculation of the disparity map for a given rectified stereo pair. Most stereo algorithms presented in the literature achieve this goal by searching all possible disparities for all pixels. This may be extremely costly if an image size and search range are large. In this paper an efficient
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Superpixel lattices

2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
Alastair P. Moore   +4 more
openaire   +1 more source

Adaptive hypergraph superpixels

Displays, 2023
Shaofan Wang   +6 more
openaire   +1 more source

Superpixel Guided Deformable Convolution Network for Hyperspectral Image Classification

IEEE Transactions on Image Processing, 2022
Chun-hui Zhao, Wenxiang Zhu, Shou Feng
exaly  

What Catch Your Attention in SAR Images: Saliency Detection Based on Soft-Superpixel Lacunarity Cue

IEEE Transactions on Geoscience and Remote Sensing, 2023
Fei Ma, Fan Zhang, Yongsheng Zhou
exaly  

ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images

IEEE Transactions on Neural Networks and Learning Systems, 2023
Hongyan Zhang, Manhui Lin, Guangyi Yang
exaly  

Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm

IEEE Transactions on Image Processing, 2016
Jianbing Shen   +2 more
exaly  

SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment

IEEE Transactions on Image Processing, 2018
Jing-Hao Xue, Fei Zhou
exaly  

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