Results 11 to 20 of about 34,849,215 (311)
Hierarchical Bayesian level set inversion [PDF]
Statistics and Computing, 2016 The level set approach has proven widely successful in the study of inverse problems for interfaces, since its systematic development in the 1990s. Recently it has been employed in the context of Bayesian inversion, allowing for the quantification of uncertainty within the reconstruction of interfaces. However the Bayesian approach is very sensitive to
Matthew M. Dunlop +2 more
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Box-supervised Instance Segmentation with Level Set Evolution [PDF]
European Conference on Computer Vision, 2022 In contrast to the fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of the simple box annotations, which has recently attracted a lot of research attentions.
Wentong Li +5 more
semanticscholar +1 more source
Automatic Brain Tumor Segmentation in Multimodal Magnetic Resonance Images (MRI) Using Brain Symmetry Analysis and Active Contour [PDF]
مجله علوم پزشکی صدرا, 2000 Introduction: The abnormal growth of the brain cells leads to a brain tumor, which has the highest mortality rate. Brain tumor segmentation from magnetic resonance images (MRI) separate the abnormal mass of tissue from normal brain tissues.
Asieh Khosravanian, Kamran Kazemi
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Geo-spatial Information Science, 2021 Level set method has been extensively used for image segmentation, which is a key technology of water extraction. However, one of the problems of the level-set method is how to find the appropriate initial surface parameters, which will affect the ...
Chuan Xu +6 more
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(Convex) Level Sets Integration [PDF]
Journal of Optimization Theory and Applications, 2015 The authors investigate the problem of recovering a pseudoconvex function from a multi-valued map that generates the normal cones to the (lower) level set of the function. This ``(convex) level set integration'' is a generalization of the classical problem of recovering (integrating) a differentiable function from its gradient with a given value in ...
Crouzeix, JP, Eberhard, A, Ralph, D
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The level set flow of a hypersurface in $\mathbb R^4$ of low entropy does not disconnect [PDF]
, 2020 We show that if $\Sigma\subset \mathbb R^4$ is a closed, connected hypersurface with entropy $\lambda(\Sigma)\leq \lambda(\mathbb{S}^2\times \mathbb R)$, then the level set flow of $\Sigma$ never disconnects. We also obtain a sharp version of the forward
Bernstein, Jacob, Wang, Shengwen
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A Unified Approach for Patient Activity Recognition in Healthcare Using Depth Camera
IEEE Access, 2021 Context-awareness is an essential part of pervasive computing. Video-based human activity recognition (HAR) has arisen as an imperative module to detect user’s situation for involuntary facility delivery in context-aware domains.
Muhammad Hameed Siddiqi +6 more
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An Improved Level Set Algorithm for Prostate Region Segmentation
Chinese Journal of Magnetic Resonance, 2021 Accurate segmentation of prostate region is an important prerequisite to improve the accuracy of computer-aided prostate cancer diagnosis. In this work, a new and accurate prostate segmentation algorithm is proposed and tested. The new algorithm consists
Shi-ju YAN, Yong-sen HAN, Guang-yu TANG
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Research on laser center positioning under CV model segmentation
Frontiers in Physics, 2022 Spot positioning accuracy is an important index of laser processing system and ranging system. When the laser spot is noisy or the gray level is not uniform, the positioning accuracy is easily affected. Aiming at the above problems, this paper proposes a
Xingchen Guo +5 more
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Saliency-Driven Active Contour Model for Image Segmentation
IEEE Access, 2020 Active contour models have achieved prominent success in the area of image segmentation, allowing complex objects to be segmented from the background for further analysis.
Ehtesham Iqbal +4 more
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