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» Level Set Methods for Watershed Image Segmentation
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IJCV
2006
164views more  IJCV 2006»
15 years 6 months ago
Stochastic Motion and the Level Set Method in Computer Vision: Stochastic Active Contours
Based on recent work on Stochastic Partial Differential Equations (SPDEs), this paper presents a simple and well-founded method to implement the stochastic evolution of a curve. F...
Olivier Juan, Renaud Keriven, Gheorghe Postelnicu
CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
15 years 11 months ago
Region Filtering Using Color and Texture Features for Image Retrieval
This paper presents a region-based image retrieval (RBIR) system in which users can choose specific regions as the query. Our goal is to assist the user to formulate more precise q...
Cheng-Chieh Chiang, Ming-Han Hsieh, Yi-Ping Hung, ...
EMMCVPR
2005
Springer
15 years 11 months ago
Energy Minimization Based Segmentation and Denoising Using a Multilayer Level Set Approach
This paper is devoted to piecewise-constant segmentation of images using a curve evolution approach in a variational formulation. The problem to be solved is also called the minima...
Ginmo Chung, Luminita A. Vese
ISBI
2002
IEEE
16 years 6 months ago
Segmentation of biomedical images with eigenvectors
We propose the use of eigenvectors for automated multidimensional image segmentation. The approach of Shi and Malik [8] has been extended in three dimensions and applied on biomed...
Achilleas S. Frangakis, Reiner Hegerl
DICTA
2003
15 years 7 months ago
Two-Level Image Segmentation Based on Region and Edge Integration
Abstract. This paper introduces a two-level approach for image segmentation based on region and edge integration. Edges are first detected in the original image using a combinatio...
Qing Wu, Yizhou Yu