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» A Fast and Robust Iris Segmentation Method
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ICIP
2010
IEEE
13 years 5 months ago
Fast and robust active contours for image segmentation
Active models are widely used in applications like image segmentation and tracking. Region-based active models are known for robustness to weak edges and high computational comple...
Wei Yu, Franz Franchetti, Yao-Jen Chang, Tsuhan Ch...
ICPR
2008
IEEE
14 years 8 months ago
Segmentation robust to the vignette effect for machine vision systems
The vignette effect (radial fall-off) is commonly encountered in images obtained through certain image acquisition setups and can seriously hinder automatic analysis processes. In...
Dimosthenis Karatzas, Marçal Rusiñol...
BILDMED
2006
169views Algorithms» more  BILDMED 2006»
13 years 8 months ago
Segmentation of the Vascular Tree in CT Data Using Implicit Active Contours
Abstract. We propose an algorithm for the segmentation of blood vessels in the kind of CT-data typical for diagnostics in a clinical environment. Due to poor quality and variance i...
Karsten Rink, Arne-Michael Törsel, Klaus D. T...
ICIP
2003
IEEE
14 years 9 months ago
Blood vessel segmentation using moving-window robust automatic threshold selection
Two moving-window methods, using either flat or Gaussian weighted windows, for local thresholding with Robust Automatic Threshold Selection are developed. The results show that fa...
Michael H. F. Wilkinson, T. Wijbenga, G. de Vries,...
ICMCS
2007
IEEE
195views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Robust People Detection and Tracking in a Multi-Camera Indoor Visual Surveillance System
In this paper we describe the analysis component of an indoor, real-time, multi-camera surveillance system. The analysis includes: (1) a novel feature-level foreground segmentatio...
Tao Yang, Francine Chen, Don Kimber, Jim Vaughan