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IBPRIA
2009
Springer
14 years 22 days ago
Textural Features for Hyperspectral Pixel Classification
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
Olga Rajadell, Pedro García-Sevilla, Filibe...
TMI
2011
147views more  TMI 2011»
13 years 3 months ago
Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model
Abstract—Backbone anatomical structure detection and labeling is a necessary step for various analysis tasks of the vertebral column. Appearance, shape and geometry measurements ...
Raja' S. Alomari, Jason J. Corso, Vipin Chaudhary
CGF
2006
94views more  CGF 2006»
13 years 9 months ago
A Weighted Error Metric and Optimization Method for Antialiasing Patterns
Displaying a synthetic image on a computer display requires determining the colors of individual pixels. To avoid aliasing, multiple samples of the image can be taken per pixel, a...
Samuli Laine, Timo Aila
DAS
2008
Springer
13 years 10 months ago
Truthing for Pixel-Accurate Segmentation
We discuss problems in developing policies for ground truthing document images for pixel-accurate segmentation. First, we describe ground truthing policies that apply to four diff...
Michael A. Moll, Henry S. Baird, Chang An
FLAIRS
1998
13 years 10 months ago
Interactively Training Pixel Classifiers
Manual generation of training examples for supervised learning is an expensive process. One way to reduce this cost is to produce training instances that are highly informative. T...
Justus H. Piater, Edward M. Riseman, Paul E. Utgof...