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INFORMATICALT
2006
150views more  INFORMATICALT 2006»
15 years 3 months ago
A Multiresolution Approach Based on MRF and Bak-Sneppen Models for Image Segmentation
The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the...
Kamal E. Melkemi, Mohamed Batouche, Sebti Foufou
SCVMA
2004
Springer
15 years 8 months ago
Comparison of Edge-Driven Algorithms for Model-Based Motion Estimation
3D-model-based tracking offers one possibility to explicate the manner in which spatial coherence can be exploited for the analysis of image sequences. Two seemingly different ap...
Hendrik Dahlkamp, Artur Ottlik, Hans-Hellmut Nagel
TIP
2010
97views more  TIP 2010»
14 years 9 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
3DICA
2000
15 years 4 months ago
Automatic Reconstruction of Large 3D Models of Real Environments from Unregistered Data-sets
Towards photo-realistic 3D scene reconstruction from range and color images, we present a statistical technique for multimodal image registration. Statistical tools are employed t...
Faysal Boughorbel, David L. Page, Mongi A. Abidi
ISVC
2009
Springer
15 years 9 months ago
Top-Down Segmentation of Histological Images Using a Digital Deformable Model
Abstract. This paper presents a straightforward top-down segmentation method based on a contour approach on histological images. Our approach relies on a digital deformable model w...
François de Vieilleville, Jacques-Olivier L...