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ICCV
1998
IEEE
14 years 8 months ago
Sectored Snakes: Evaluating Learned-Energy Segmentations
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
Samuel D. Fenster, John R. Kender
SAMT
2007
Springer
135views Multimedia» more  SAMT 2007»
14 years 6 days ago
Stopping Region-Based Image Segmentation at Meaningful Partitions
This paper proposes a new stopping criterion for automatic image segmentation based on region merging. The criterion is dependent on image content itself and when combined with the...
Tomasz Adamek, Noel E. O'Connor
ICIP
2006
IEEE
14 years 7 months ago
Light and Fast Statistical Motion Detection Method Based on Ergodic Model
In this paper, we propose a light and fast pixel-based statistical motion detection method based on a background subtraction procedure. The statistical representation of the backg...
Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
CAIP
2011
Springer
248views Image Analysis» more  CAIP 2011»
12 years 6 months ago
Statistical Tuning of Adaptive-Weight Depth Map Algorithm
Abstract. In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experimen...
Alejandro Hoyos, John Congote, Iñigo Barand...
DAS
2010
Springer
13 years 4 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...