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Communication Dans Un Congrès Lecture Notes in Computer Science Année : 2006

Local Orientation Estimation in Corrupted Images

Résumé

IRON is a low level operator dedicated to the estimation of single and multiple local orientations in images. Previous works have shown that IRON is more accurate and more selective than Gabor and Steerable filters, for textures corrupted with Gaussian noise. In this paper, we propose two new features. The first one is dedicated to the estimation of orientation in images damaged by impulsive noise. The second one applies when images are corrupted with an amplitude modulation, such as an inhomogeneous lighting.
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Dates et versions

hal-00166472 , version 1 (06-08-2007)

Identifiants

  • HAL Id : hal-00166472 , version 1

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Franck Michelet, Jean-Pierre da Costa, Pierre Baylou, Christian Germain. Local Orientation Estimation in Corrupted Images. International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, Aug 2006, China. pp.349-358. ⟨hal-00166472⟩
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