Results 21 to 30 of about 81,920 (279)
Scale Space Operators on Hierarchies of Segmentations [PDF]
, 2013 A hierarchy of segmentations(partitions) is a multiscale set representation of the image. This paper introduces a new set of scale space operators or transformations on the space of hierarchies of partitions. An ordering of hierarchies is proposed which is endowed by an ω-ordering based on a global energy over the classes of the hierarchy.
Kiran, Bangalore Ravi, Serra, Jean
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Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces [PDF]
, 2016 We formulate a general energy and method for segmentation that is designed to have preference for segmenting the coarse structure over the fine structure of the data, without smoothing across boundaries of regions. The energy is formulated by considering data terms at a continuum of scales from the scale space computed from the Heat Equation within ...
Sundaramoorthi, Ganesh +2 more
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SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation
International Journal of Applied Earth Observations and GeoinformationSemantic segmentation of urban-scale point clouds can effectively assist people in understanding and perceiving 3D urban scenes. Although a considerable number of deep learning models for the semantic segmentation of point clouds have been proposed, some
Wenxiao Zhan, Jing Chen
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Fast Mumford-Shah segmentation using image scale space bases [PDF]
SPIE Proceedings, 2007 Image segmentation using the piecewise smooth variational model proposed by Mumford and Shah is both robust and computationally expensive. Fortunately, both the intermediate segmentations computed in the process of the evolution, and the final segmentation itself have a common structure.
Christopher V. Alvino, Anthony J. Yezzi
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Robust brain segmentation using histogram scale-space analysis and mathematical morphology [PDF]
, 1998 In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysis of the scale-space of the histogram first and second derivative. We show first that the crossings in scale-space of trajectories of extrema of different derivative orders follow ...
J. -F. Mangin, O. Coulon, V. Frouin
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Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation [PDF]
, 2018 10 pages, 7 ...
Noh, Kyoung Jin +2 more
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Image Semantic Segmentation Based on Multi-level Superposition and Attention Mechanism [PDF]
Jisuanji gongcheng, 2023 To address the common problems such as small-scale targets being easily lost and boundary segmentation being discontinuous owing to the complexity of target space, a semantic image segmentation model based on multi-level superposition and attention ...
Xiaodong SU, Shizhou LI, Jiayuan ZHAO, Hongyu LIANG, Yurong ZHANG, Hongyan XU
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Latent space unsupervised semantic segmentation
Frontiers in Physiology, 2023 The development of compact and energy-efficient wearable sensors has led to an increase in the availability of biosignals. To effectively and efficiently analyze continuously recorded and multidimensional time series at scale, the ability to perform ...
Knut J. Strommen +4 more
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Multi-Scale Deep Neural Network Based on Dilated Convolution for Spacecraft Image Segmentation
Sensors, 2022 In recent years, image segmentation techniques based on deep learning have achieved many applications in remote sensing, medical, and autonomous driving fields.
Yuan Liu +5 more
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IET Image Processing, 2023 Iris segmentation is a critical step in the iris recognition system. Since the quality of iris database taken under different camera sensors varies greatly, thus most existing iris segmentation methods are designed for a particular collection device ...
Guang Huo, Dawei Lin, Meng Yuan
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