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Fast Mumford-Shah segmentation using image scale space bases
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 Alvino, Anthony Yezzi
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Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces
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 ...
Ganesh Sundaramoorthi+2 more
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Scale-Space Approach for Color Image Segmentation
This paper presents a new method for color image segmentation based on a scale-space clustering of the image pixels. Unlike standard image scale-spaces, which smooth the images, this approach consider an augmented space which combines spatial and color dimensions.
Rémi Megret
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Yong Cheng+11 more
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Scale-Space Processing of Point-Sampled Geometry for Efficient 3D Object Segmentation [PDF]
In this paper, we present a new framework for analyzing and segmenting point-sampled 3D objects. Our method first computes for each surface point the surface curvature distribution by applying the principal component analysis on local neighborhoods with different sizes.
H. Laga, H. Takahashi, M. Nakajima
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Quantitative analysis of cryo-EM density map segmentation by watershed and scale-space filtering, and fitting of structures by alignment to regions [PDF]
Grigore Pintilie+4 more
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Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation
10 pages, 7 ...
Kyoung Jin Noh+2 more
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Retinal Blood Vessel Segmentation by Means of Scale-Space Analysis and Region Growing [PDF]
M. Elena Martínez-Pérez+5 more
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Robust brain segmentation using histogram scale-space analysis and mathematical morphology [PDF]
Jean‐François Mangin+2 more
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Latent space unsupervised semantic segmentation
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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