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» A probabilistic framework for image segmentation
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ISBI
2008
IEEE
14 years 8 months ago
Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
Noah Lee, Andrew F. Laine, Theodore R. Smith

Publication
285views
14 years 6 months ago
Bilateral Symmetry Detection and Segmentation via Symmetry-Growing
We present a novel and robust method for localizing and segmenting bilaterally symmetric patterns from real-world images. On the basis of symmetrically matched pairs of local featu...
Minsu Cho (Seoul National University), Kyoung Mu L...
ICIP
2007
IEEE
14 years 2 months ago
Using Dempster-Shafer Theory to Fuse Multiple Information Sources in Region-Based Segmentation
This paper presents a new method for segmentation of images into large regions that reflect the real world objects present in a scene. It explores the feasibility of utilizing sp...
Tomasz Adamek, Noel E. O'Connor
CVPR
2003
IEEE
14 years 1 months ago
Graph-Theoretic Approach to Clustering and Segmentation
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
Massimiliano Pavan, Marcello Pelillo
IBPRIA
2003
Springer
14 years 1 months ago
Multiple Segmentation of Moving Objects by Quasi-simultaneous Parametric Motion Estimation
Abstract. This paper presents a new framework for the motion segmentation and estimation task on sequences of two grey images without a priori information of the number of moving r...
Raúl Montoliu, Filiberto Pla