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Dilation (morphology)

Known as: Dilation 
Dilation is one of the basic operations in mathematical morphology. Originally developed for binary images, it has been expanded first to grayscale… Expand
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Convolutional networks for image classification progressively reduce resolution until the image is represented by tiny feature… Expand
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Highly Cited
2017
Highly Cited
2017
This paper focuses on semantic scene completion, a task for producing a complete 3D voxel representation of volumetric occupancy… Expand
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Highly Cited
2017
Highly Cited
2017
We present a deep learning framework for probabilistic pixel-wise semantic segmentation, which we term Bayesian SegNet. Semantic… Expand
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Highly Cited
2005
Highly Cited
2005
This paper studies properties of homogeneous systems in a geometric, coordinate-free setting. A key contribution of this paper is… Expand
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Highly Cited
2005
Highly Cited
2005
The advent of inexpensive digital image sensors and the ability to create photographs that combine information from a number of… Expand
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Highly Cited
2004
Highly Cited
2004
We give a O(√log n)-approximation algorithm for sparsest cut, balanced separator, and graph conductance problems. This improves… Expand
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Highly Cited
1997
Highly Cited
1997
This paper focuses on the problem of exponential stabilization of controllable, driftless systems using time-varying, homogeneous… Expand
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Highly Cited
1990
Highly Cited
1990
A general form of the double porosity model of single phase flow in a naturally fractured reservoir is derived from… Expand
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Highly Cited
1989
Highly Cited
1989
Wavelets are new families of basis functions that yield the representation $f(x) = \sum {b_{jk} W(2^j x - k)} $. Their… Expand
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Highly Cited
1986
Highly Cited
1986
Extensive data of the strength and dilatancy of 17 sands in axisymmetric or plane strain at different densities and confining… Expand
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