Browsing University of Waterloo by Subject "Markov random field"

Now showing items 1-3 of 3

A New Look Into Image Classification: Bootstrap Approach

Ochilov, Shuhratchon (University of Waterloo, 2012-03-15)

Scene classification is performed on countless remote sensing images in support of operational activities. Automating this process is preferable since manual pixel-level classification is not feasible for large scenes. ...
Optimization for Image Segmentation

Tang, Meng (University of Waterloo, 2019-06-26)

Image segmentation, i.e., assigning each pixel a discrete label, is an essential task in computer vision with lots of applications. Major techniques for segmentation include for example Markov Random Field (MRF), Kernel ...
Segmentation of RADARSAT-2 Dual-Polarization Sea Ice Imagery

Yu, Peter (University of Waterloo, 2009-09-24)

The mapping of sea ice is an important task for understanding global climate and for safe shipping. Currently, sea ice maps are created by human analysts with the help of remote sensing imagery, including synthetic aperture ...