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MICCAI
2003
Springer
16 years 8 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...
224
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JMM2
2006
141views more  JMM2 2006»
15 years 7 months ago
Human Tracking by Fast Mean Shift Mode Seeking
Change detection by background subtraction is a common approach to detect moving foreground. The resulting difference image is usually thresholded to obtain objects based on pixel ...
Csaba Beleznai, Bernhard Frühstück, Hors...
MM
2004
ACM
149views Multimedia» more  MM 2004»
16 years 27 days ago
An adaptive skin model and its application to objectionable image filtering
We propose an adaptive skin-detection method, which allows modelling and detection of the true skin-color pixels with significantly higher accuracy and flexibility than previous...
Qiang Zhu, Ching-Tung Wu, Kwang-Ting Cheng, Yi-Leh...
ICCV
2001
IEEE
16 years 9 months ago
Blind Removal of Image Non-Linearities
This paper presents a technique for blindly removing image non-linearities in the absence of any calibration information or explicit knowledge of the imagingdevice. The basic appr...
Hany Farid, Alin C. Popescu
148
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PR
2002
64views more  PR 2002»
15 years 7 months ago
Spatial-temporal joint probability images for video segmentation
E ective annotation and content-based search for videos in a digital library require a preprocessing step of detecting, locating and classifying scene transitions, i.e., temporal ...
Ze-Nian Li, Xiang Zhong, Mark S. Drew