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CVIU
2006
160views more  CVIU 2006»
13 years 4 months ago
Automatic selection of edge detector parameters based on spatial and statistical measures
The basic and widely used edge detection operation in an image usually requires a prior step of setting the edge detector parameters (thresholds, blurring extent etc.). Finding th...
Raz Koren, Yitzhak Yitzhaky
TIP
2010
161views more  TIP 2010»
12 years 11 months ago
Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content
Across the field of inverse problems in image and video processing, nearly all algorithms have various parameters which need to be set in order to yield good results. In practice, ...
Xiang Zhu, Peyman Milanfar
ICRA
2006
IEEE
109views Robotics» more  ICRA 2006»
13 years 11 months ago
Robust Statistics for 3D Object Tracking
Abstract— This paper focuses on methods that enhance performance of a model based 3D object tracking system. Three statistical methods and an improved edge detector are discussed...
Peter Preisig, Danica Kragic
SDM
2008
SIAM
120views Data Mining» more  SDM 2008»
13 years 6 months ago
Spatial Scan Statistics for Graph Clustering
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
Bei Wang, Jeff M. Phillips, Robert Schreiber, Denn...
ISBI
2008
IEEE
14 years 5 months ago
Deconvolution of 3D fluorescence micrographs with automatic risk minimization
We investigate the problem of automatic tuning of a deconvolution algorithm for three-dimensional (3D) fluorescence microscopy; specifically, the selection of the regularization p...
Sathish Ramani, Cédric Vonesch, Michael Uns...