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Convolution Kernel

An algorithm used to reconstruct imaging data. Convolution kernels can be used to filter images to smooth them and reduce noise or to enhance edges… 
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Helicopter Target Recognition Based on the Frequency Domain Adaptive Convolution Kernel Filtering
The characteristics of the distribution of the helicopter radar echo on the time-frequency two dimensional detection plane, a… 
2017
2017
Using Gabor filter in 3D convolutional neural networks for human action recognition
Human action recognition is an important topic in the field of computer vision. We use Gabor filter in 3D CNNs models in… 
2017
2017
Robust and adaptive watermarking technique for digital images
Increase usage of broadcasting media during the last thirty years has to the led access, sharing, replication and manipulation of… 
2014
2014
Convolutional Virtual Electric Field for Image Segmentation Using Active Contours
Gradient vector flow (GVF) is an effective external force for active contours; however, it suffers from heavy computation load… 
2011
2011
Selection of convolution kernel in non-uniform fast Fourier transform for Fourier domain optical coherence tomography.
Gridding based non-uniform fast Fourier transform (NUFFT) has recently been shown as an efficient method of processing non… 
2010
2010
Kernel subspace LDA with convolution kernel function for face recognition
It is well-known that most wavelet functions are un-symmetrical and thus fail to satisfy Fourier criterion. These kinds of… 
2008
2008
The Lorentz-type convolution kernel of narrow photon beams
Transverse dose profiles D(x,y) of narrow photon beams can be regarded as resulting from the convolution of a two-dimensional… 
2006
2006
Anisotropic Multidimensional Savitzky Golay kernels for Smoothing , Differentiation and Reconstruction
The archetypal Savitzky–Golay convolutional filter matches a polynomial to even-spaced data and uses this to measure smoothed… 
2004
2004
Study of mask corner rounding effects on lithographic patterning for 90-nm technology node and beyond
This paper presented an integrated simulation framework linking our in-house mask writer simulator and the optical lithography… 
1995
1995
Evolution of convolution kernels for feature extraction
A fundamental difficulty in image processing is the determination of a suitable set of features which can be used to segment… 
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