3 papers
cs.CV2018
Stochastic Distance Transform
Johan Öfverstedt, Joakim Lindblad, Nataša Sladoje
The distance transform (DT) and its many variations are ubiquitous tools for image processing and analysis. In many imaging scenarios, the images of interest are corrupted by noise…
cs.CV2018
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification
Tomáš Majtner, Buda Bajić, Sule Yildirim +3
In this report, we are presenting our automated prediction system for disease classification within dermoscopic images. The proposed solution is based on deep learning, where we em…
cs.CV2018
Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
Johan Öfverstedt, Joakim Lindblad, Nataša Sladoje
Intensity-based image registration approaches rely on similarity measures to guide the search for geometric correspondences with high affinity between images. The properties of the…