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» Microarray image analysis based on an evolutionary approach
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ICDAR
2003
IEEE
15 years 3 months ago
Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform
In this paper we present a new postal envelope segmentation method based on 2-D histogram clustering and watershed transform. Segmentation task consists in detecting the modes ass...
Eduardo Akira Yonekura, Jacques Facon
SCIA
2009
Springer
261views Image Analysis» more  SCIA 2009»
15 years 2 months ago
Dense and Deformable Motion Segmentation for Wide Baseline Images
In this paper we describe a dense motion segmentation method for wide baseline image pairs. Unlike many previous methods our approach is able to deal with deforming motions and lar...
Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Hei...
CAIP
2009
Springer
209views Image Analysis» more  CAIP 2009»
15 years 2 months ago
Total Variation Processing of Images with Poisson Statistics
This paper deals with denoising of density images with bad Poisson statistics (low count rates), where the reconstruction of the major structures seems the only reasonable task. Ob...
Alex Sawatzky, Christoph Brune, Jahn Müller, ...
CVPR
2006
IEEE
16 years 4 days ago
Clustering Appearance for Scene Analysis
We propose a new approach called "appearance clustering" for scene analysis. The key idea in this approach is that the scene points can be clustered according to their s...
Sanjeev J. Koppal, Srinivasa G. Narasimhan
DAGM
2004
Springer
15 years 3 months ago
Estimation of Multiple Orientations at Corners and Junctions
Abstract. Features like junctions and corners are a rich source of information for image understanding. We present a novel theoretical framework for the analysis of such 2D feature...
Cicero Mota, Ingo Stuke, Til Aach, Erhardt Barth