Results 191 to 200 of about 986,520 (234)

Fast Multiscale Superpixel Segmentation for SAR Imagery

IEEE Geoscience and Remote Sensing Letters, 2022
Superpixel segmentation is essential to the rapid information extraction from synthetic aperture radar (SAR) imagery. In this letter, we propose a fast multiscale superpixel segmentation method based on the minimum spanning tree (MST), which can generate
Wei Zhang, D. Xiang, Yi Su
semanticscholar   +1 more source

Blind Image Deblurring via Superpixel Segmentation Prior

IEEE transactions on circuits and systems for video technology (Print), 2022
We present an effective blind image deblurring algorithm based on superpixel segmentation prior (SSP). The motivation of this work is an interesting observation that the more rough the segmentation boundaries are, the clearer the image will be ...
Bing Luo, Zhong Cheng, Li Xu, Guangrong Zhang, Hong-Liang Li   +4 more
semanticscholar   +1 more source

Bayesian Adaptive Superpixel Segmentation

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Superpixels 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 predefined or estimated at a prohibitive cost; 3) lack of adaptiveness.
Roy Uziel, Meitar Ronen, Oren Freifeld
openaire   +2 more sources

Two-Stage Registration of SAR Images With Large Distortion Based on Superpixel Segmentation

IEEE Transactions on Geoscience and Remote Sensing
When the geometric distortion of the synthetic aperture radar (SAR) images to be registered is large, the spatial correspondence between the feature points of the two images will change significantly.
D. Xiang, Xiaoyu Pan, Huai-Yue Ding, Jian-Da Cheng, Xiao-Kun Sun   +4 more
semanticscholar   +1 more source

Hierarchical Superpixel Segmentation by Parallel CRTrees Labeling

IEEE Transactions on Image Processing, 2022
This 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.
Tingman Yan, Xiao-Lin Huang, Qunfei Zhao
semanticscholar   +1 more source

Dynamic Random Walk for Superpixel Segmentation

IEEE Transactions on Image Processing, 2020
In 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 0012, Anlong Ming
openaire   +3 more sources

Revisiting SLIC: Fast Superpixel Segmentation of Marine SAR Images Using Density Features

IEEE Transactions on Geoscience and Remote Sensing, 2022
The 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.
Xue-Qian Wang, Gang Li, A. Plaza, You He
semanticscholar   +1 more source

An Active Contour Model Based on Fuzzy Superpixel Centers and Nonlinear Diffusion Filter for Instance Segmentation

IEEE Transactions on Instrumentation and Measurement
The significant weaknesses of the active contour model (ACM) are the manual setting of contour and the inability to process images with complex information, which limits its efficiency and application scope.
Yi-Yang Chen, Fuzheng Zhang, Gui-Na Wang, Guirong Weng, Daniele Fontanelli   +4 more
semanticscholar   +1 more source

Multiple token rearrangement Transformer network with explicit superpixel constraint for segmentation of echocardiography

Medical Image Anal.
Diagnostic cardiologists have considerable clinical demand for precise segmentation of echocardiography to diagnose cardiovascular disease. The paradox is that manual segmentation of echocardiography is a time-consuming and operator-dependent task ...
Wanli Ding, He-Ye Zhang, Xiu-Jian Liu, Zhen-Xuan Zhang, Shu-Xin Zhuang, Zhi-Fan Gao, Lin Xu   +6 more
semanticscholar   +1 more source

Compressive Tracking based on Superpixel Segmentation

Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media, 2016
The compressive sensing trackers, which utilize a very sparse measurement matrix to capture the targets' appearance model, perform well when the tracked targets are well defined. However, such trackers often run into drifting problems due to the fact that the tracking result is a bounding box which also includes background information, especially in ...
Ting Chen 0004, Hichem Sahli, Yanning Zhang 0001, Tao Yang 0006, Lingyan Ran   +4 more
openaire   +2 more sources