4 papers
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…
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…
Currents and K-functions for Fiber Point Processes
Pernille EH. Hansen, Rasmus Waagepetersen, Anne Marie Svane +4
Analysis of images of sets of fibers such as myelin sheaths or skeletal muscles must account for both the spatial distribution of fibers and differences in fiber shape. This necess…
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…