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» Level Set Methods for Watershed Image Segmentation
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ICPR
2002
IEEE
14 years 8 months ago
Bayesian Marker Extraction for Color Watershed in Segmenting Microscopic Images
In this paper we study the ability of the cooperation of Bayesian color pixel classification in extracting seeds for color watershed. Using color pixel classification alone does n...
Olivier Lezoray, Hubert Cardot
SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
14 years 2 months ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...
IPMI
2005
Springer
14 years 1 months ago
A Generalized Level Set Formulation of the Mumford-Shah Functional for Brain MR Image Segmentation
Brain MR image segmentation is an important research topic in medical image analysis area. In this paper, we propose an active contour model for brain MR image segmentation, based ...
Lishui Cheng, Jie Yang, Xian Fan, Yuemin Zhu
DAGM
2006
Springer
13 years 11 months ago
A Modification of the Level Set Speed Function to Bridge Gaps in Data
Abstract. Level set methods have become very popular means for image segmentation in recent years. But due to the data-driven nature of this methods it is difficult to segment obje...
Karsten Rink, Klaus D. Tönnies
ICIP
1998
IEEE
14 years 9 months ago
Image Segmentation of Color Image Based on Region Coherency
Two-step image segmentation algorithm is proposed, which is based on region coherency for the segmentation of color image. The first step is the watershed segmentation, and the ne...
S. Ji, Heung-Won Park