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MICCAI
2003
Springer
16 years 5 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
GIS
2009
ACM
15 years 11 months ago
Tree detection from aerial imagery
We propose an automatic approach to tree detection from aerial imagery. First a pixel-level classifier is trained to assign a {tree, non-tree} label to each pixel in an aerial im...
Lin Yang, Xiaqing Wu, Emil Praun, Xiaoxu Ma
ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Experiential Sampling based Foreground/Background Segmentation for Video Surveillance
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...
Pradeep K. Atrey, Vinay Kumar, Anurag Kumar, Mohan...
MMM
2005
Springer
152views Multimedia» more  MMM 2005»
15 years 10 months ago
Learning No-Reference Quality Metric by Examples
In this paper, a novel learning based method is proposed for No-Reference image quality assessment. Instead of examining the exact prior knowledge for the given type of distortion...
Hanghang Tong, Mingjing Li, HongJiang Zhang, Chang...
AFRIGRAPH
2003
ACM
15 years 10 months ago
Psychophysically based artistic techniques for increased perceived realism of virtual environments
The perceived realism of a computer generated image depends on the accuracy of the modeling and illumination calculations, the limitations of the display device, and the way in wh...
Peter Longhurst, Patrick Ledda, Alan Chalmers