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cs.CV2024
Attenuation-adjusted deep learning of pore defects in 2D radiographs of additive manufacturing powders
Andreas Bjerregaard, David Schumacher, Jon Sporring
The presence of gas pores in metal feedstock powder for additive manufacturing greatly affects the final AM product. Since current porosity analysis often involves lengthy X-ray co…
cs.CV2024
Locally orderless networks
Jon Sporring, Peidi Xu, Jiahao Lu +2
We present Locally Orderless Networks (LON) and its theoretic foundation which links it to Convolutional Neural Networks (CNN), to Scale-space histograms, and measurement theory. T…
cs.CV2012
Locally Orderless Registration
Sune Darkner, Jon Sporring
Image registration is an important tool for medical image analysis and is used to bring images into the same reference frame by warping the coordinate field of one image, such that…